Top 10 Data Analytics Courses Online With Certificate 2023
-
Himank Koundal
- June 26, 2023
- 10:55 am
In today’s data-driven world, the demand for skilled data analysts is soaring. As businesses strive to make data-driven decisions, professionals equipped with data analytics skills are highly sought after. If you’re looking to enhance your expertise in this field or embark on a new career path, Data Analytics courses online can provide a convenient and effective way to acquire the necessary knowledge. In this article, we will explore the top 10 data analytics courses online with certificates that are poised to make a significant impact in 2023.
These online education courses have been carefully selected based on their comprehensive curriculum, experienced instructors, positive student feedback, and industry recognition. Whether you are a beginner looking to gain a basic understanding of data analytics or an experienced professional seeking to refine your skills, these courses cater to individuals at various levels of expertise.
By enrolling in these Data Analytics Courses Online, you will have the opportunity to learn from renowned instructors who possess extensive industry experience. They will guide you through the fundamental concepts of data analytics, statistical analysis, data visualization, machine learning, and more. Additionally, these courses often provide hands-on exercises and real-world projects to ensure practical application of the knowledge gained.
So, if you aspire to excel in the field of data analytics or simply wish to expand your skill set, these top 10 data analytics courses online with certificates for 2023 offer a fantastic opportunity to achieve your goals. So, let’s dive in and explore the courses that will equip you with the knowledge and credentials needed to thrive in the data-driven world of tomorrow.
| Best Online Data Analytics Courses | Rating | Fees (INR) |
|---|---|---|
|
Google Data Analytics Professional Certificate |
4.8/5 |
4,016.79 INR Per Month |
|
Data Analyst Nanodegree Program |
4.6/5 |
16,317.70 INR Per Month |
|
IBM Data Analyst Professional Certificate |
4.6/5 |
4,016.79 INR Per Month |
|
Data Analyst in R Specialization |
4.6/5 |
1,639.73 INR Per Month |
|
Data Analyst in Python |
4.8/5 |
1,635.64 INR Per Month |
|
Springboard Data Analytics Career Track
|
4.6/5
|
1,08,770 INR Per Month |
|
Data Science A-Z™: Hands-On Python & R In Data Science
|
4.6/5 |
1,229.73 INR Per Month |
|
Become a Data Analyst |
4.5/5 |
2,459.47 INR Per Month |
|
Data Analytics Bootcamp |
4.6/5 |
1,10,624 INR Per Month |
|
MITx MicroMasters in Statistics and Data Science |
4.6/5 |
65,510.41 INR Per Month |
Table of Contents
Top Data Analytics Online Courses
In today’s data-driven world, the demand for skilled data Analysts is constantly on the rise. Data Analytics become a critical field across various industries, with professionals leveraging data to drive insights and make informed decisions. If you’re looking to enter this exciting field or advance your existing skills, data analytics courses online offer a flexible and accessible way to acquire the knowledge and expertise needed. Whether you’re a beginner or an experienced professional, these courses provide comprehensive training in data visualization, statistical analysis, machine learning, and data-driven decision-making. Join the growing community of data enthusiasts and embark on a transformative learning journey with best online course for big data analytics .
Here are the pros of taking a data analytics online course :
- Flexibility: You can study at your own pace and on your own time. This is especially beneficial if you have a busy schedule or if you’re working full-time.
- Affordability: Online courses are often more affordable than traditional classroom courses. This makes them a great option for people who are on a budget.
- Access to experts: Many online courses are taught by industry experts, giving you the opportunity to learn from the best.
- Networking opportunities: Online courses can help you connect with other data analysts and professionals in the field. This can be a great way to learn from others and to build your professional network.
- Job opportunities: Many employers are looking for data analysts with online skills. Taking an online course can help you make yourself more marketable to potential employers.
Here are some of the cons of taking a data analytics courses online:
- Lack of interaction: You may not have as much interaction with your instructor or with other students as you would in a traditional classroom setting. This can make it difficult to ask questions, get help, and collaborate with others.
- Self-discipline: You need to be self-motivated and disciplined in order to succeed in an online course. This is because you will be responsible for managing your own time and workload.
- Technical difficulties: You may experience technical difficulties, such as slow internet connection or problems with the course platform. This can be frustrating and can disrupt your learning.
- Cost: Online courses can be expensive, especially if you are taking a course from a reputable institution.
- Not as rigorous: Online courses may not be as rigorous as traditional classroom courses. This is because they are often self-paced and there is less instructor oversight.
Here are some of the free online data analytics courses in india that you can check out:
- Google Data Analytics Professional Certificate
- IBM Data Analyst Professional Certificate
- Udemy Data Analyst Course
- edX Data Science with Python Specialization
- Coursera Dataquest
- DataCamp
Coursera : Google Data Analytics Professional Certificate
Course overview : This course is designed to help you learn the skills you need to become a data analyst. You will learn how to collect, clean, analyze, and visualize data using popular tools like Excel, SQL, and Google Analytics. You will also learn how to communicate your findings to stakeholders in a clear and concise way. Also, on Coursera, you can explore a wide range of subjects and acquire valuable skills at an affordable coursera cost.
Course content : The course is divided into 6 modules:
- Data analysis fundamentals: This module covers the basics of data analysis, including data collection, cleaning, and analysis.
- Data visualization: This module teaches you how to use visualization tools to communicate your findings to stakeholders.
- Excel for data analysis: This module teaches you how to use Excel to analyze data.
- SQL for data analysis: This module teaches you how to use SQL to query and analyze data from databases.
- Google Analytics: This module teaches you how to use Google Analytics to track website traffic and measure the effectiveness of marketing campaigns.
- Capstone project: In the capstone project, you will apply the skills you have learned throughout the course to a real-world data analytics problem.
Also, The Google Data Analytics Professional Certificate offered on Coursera has received excellent coursera reviews from learners worldwide.
What You Will Learn
Here are the things you will learn by choosing the Google Data Analytics Professional Certificate online course by Coursera:
- Data collection and preparation: You will learn how to collect data from a variety of sources, clean and organize it, and prepare it for analysis.
- Data analysis and visualization: You will learn how to use statistical methods to analyze data and how to visualize data in a way that is clear and informative.
- Data storytelling: You will learn how to tell stories with data by communicating insights to others in a clear and concise way.
- Google Cloud Platform: You will learn how to use Google Cloud Platform to store, process, and analyze data.
In addition to these technical skills, you will also learn the following soft skills:
- Problem solving: You will learn how to identify and solve problems using data.
- Critical thinking: You will learn how to think critically about data and to identify patterns and trends.
- Communication: You will learn how to communicate effectively with others about data.
So if you are looking for a data analytics courses online that can help you launch a successful career in this field, the Google Data Analytics Professional Certificate course by Coursera is a great option.
Key Highlights
Course Duration : 3 to 6 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 10,00,000+
Certification : Certificate on completion of course
Udacity : Data Analyst Nanodegree Program
Course overview: This course is designed to help you learn the skills you need to become a data analyst. You will learn how to collect, clean, analyze, and visualize data using popular tools like Python, SQL, and Tableau. You will also learn how to communicate your findings to stakeholders in a clear and concise way. The Udacity Data Analyst Nanodegree Program is highly regarded, with positive Udacity reviews as well highlighting its comprehensive curriculum and practical approach to data analysis.
Course content: The course is divided into 7 modules:
- Data analysis fundamentals: This module covers the basics of data analysis, including data collection, cleaning, and analysis.
- Exploratory data analysis: This module teaches you how to use data exploration techniques to gain insights from data.
- Data wrangling: This module teaches you how to clean and prepare data for analysis.
- Statistical analysis: This module teaches you how to use statistical methods to analyze data.
- Data visualization: This module teaches you how to use visualization tools to communicate your findings to stakeholders.
- Machine learning: This module teaches you how to use machine learning algorithms to make predictions from data.
- Capstone project: In the capstone project, you will apply the skills you have learned throughout the course to a real-world data analytics problem.
What You Will Learn
Here are some of the things you will learn by choosing the Data Analyst Nanodegree Program online course by Udacity:
- Data analysis with Python and SQL: You will learn how to use Python and SQL to collect, clean, and analyze data.
- Data visualization: You will learn how to use data visualization tools to create informative and engaging visualizations.
- Data storytelling: You will learn how to tell stories with data by communicating insights to others in a clear and concise way.
- Project management: You will learn how to manage data analytics projects from start to finish.
- Soft skills: You will learn the soft skills that are essential for a career in data analysis, such as communication, problem-solving, and critical thinking.
So if you are looking for a data analytics courses online that can help you launch a successful career in this field, the Data Analyst Nanodegree Program by Udacity is a great option.
Key Higlights
Course Duration : 4 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 1,50,000+
Certification : Certificate on completion of course
Coursera : IBM Data Analyst Professional Certificate
Course overview: This course is designed to help you learn the skills you need to become a data analyst. You will learn how to collect, clean, analyze, and visualize data using popular tools like Excel, SQL, and IBM Watson Studio. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Course content: The course is divided into 9 modules:
- Data analysis fundamentals: This module covers the basics of data analysis, including data collection, cleaning, and analysis.
- Data visualization: This module teaches you how to use visualization tools to communicate your findings to stakeholders.
- Excel for data analysis: This module teaches you how to use Excel to analyze data.
- SQL for data analysis: This module teaches you how to use SQL to query and analyze data from databases.
- IBM Watson Studio: This module teaches you how to use IBM Watson Studio to analyze data and create predictive models.
- Capstone project: In the capstone project, you will apply the skills you have learned throughout the course to a real-world data analytics problem.
- Data science ethics: This module teaches you about the ethical considerations of data science.
- Communication for data analysts: This module teaches you how to communicate your findings to stakeholders in a clear and concise way.
- Career paths in data analytics: This module teaches you about different career paths in data analytics.
What You Will Learn
Here are some of the things you will learn by choosing the IBM Data Analyst Professional Certificate online course by Coursera:
- Introduction to data analytics: This course will teach you the basics of data analytics, including what it is, why it is important, and how to use it to solve business problems.
- Excel basics for data analysis: This course will teach you how to use Excel to perform basic data analysis tasks, such as creating pivot tables, charts, and macros.
- Data visualization and dashboards with Excel and Cognos: This course will teach you how to create data visualizations and dashboards using Excel and Cognos.
- Python for data science and AI: This course will teach you the basics of Python, a programming language that is widely used for data science and artificial intelligence.
- Databases and SQL for data science: This course will teach you the basics of databases and SQL, a language that is used to query and manipulate data in databases.
- Data analysis with Python: This course will teach you how to use Python to perform more advanced data analysis tasks, such as machine learning and natural language processing.
- Data visualization with Python: This course will teach you how to use Python to create more advanced data visualizations, such as interactive dashboards and web applications.
- IBM Data Analyst Capstone Project: This course will give you the opportunity to apply the skills you have learned throughout the program to a real-world data analysis project.
So if you are looking for a data analytics courses online that can help you launch a successful career in this field, the IBM Data Analyst Professional Certificate is a great option.
Key Highlights:
Course Duration : 3 to 6 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 3,50,000+
Certification : Certificate on completion of course
Datacamp : Data Analyst in R Specialization
Course overview: This specialization is designed to help you learn the skills you need to become a data analyst using R. You will learn how to collect, clean, analyze, and visualize data using R. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Course content: The specialization is divided into 5 courses:
- Introduction to R for Data Science: This course introduces you to the R programming language and teaches you the basics of data manipulation and analysis.
- Data Visualization with R: This course teaches you how to use R to create data visualizations.
- Exploratory Data Analysis with R: This course teaches you how to use R to explore data and identify patterns.
- Statistical Modeling with R: This course teaches you how to use R to build statistical models.
- Capstone Project: In the capstone project, you will apply the skills you have learned throughout the specialization to a real-world data analytics problem.
Also, The Data Analyst in R Specialization on DataCamp received rave DataCamp reviews, with participants praising the comprehensive curriculum and hands-on projects that equipped them with practical skills for analyzing data effectively.
What You Will Learn
Here are some of the things you will learn by choosing the Data Analyst in R Specialization online course by Datacamp:
- Introduction to R: This course will teach you the basics of R, including how to install R, how to use the RStudio IDE, and how to write basic R code.
- Data Manipulation with dplyr: This course will teach you how to use the dplyr package to manipulate data in R. dplyr is a powerful package that makes it easy to filter, select, and summarize data.
- Data Visualization with ggplot2: This course will teach you how to use the ggplot2 package to create data visualizations in R. ggplot2 is a popular package for creating beautiful and informative data visualizations.
- Statistical Thinking in R: This course will teach you the basics of statistical thinking, including how to formulate hypotheses, collect data, and analyze data.
- Machine Learning with R: This course will teach you how to use R to build machine learning models. Machine learning is a powerful tool that can be used to automate tasks and make predictions.
- Natural Language Processing with R: This course will teach you how to use R to process natural language data. Natural language processing is a field of computer science that deals with the interaction between computers and human (natural) languages.
- Time Series Analysis with R: This course will teach you how to use R to analyze time series data. Time series data is data that is collected over time, and it can be used to track trends, identify patterns, and make predictions.
- Spatial Analysis with R: This course will teach you how to use R to analyze spatial data. Spatial data is data that is associated with a location, and it can be used to map patterns, identify clusters, and make predictions.
- Capstone Project: This course will give you the opportunity to apply the skills you have learned throughout the specialization to a real-world data analysis project.
So if you are looking for a data analytics courses online that can help you launch your career in data science, the Data Analyst in R Specialization by Datacamp is a great option.
Key Highlights:
Course Duration : 6 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 2,50,000+
Certification : Certificate on completion of course
Dataquest : Data Analyst in Python
Course overview: This path is designed to help you learn the skills you need to become a data analyst using Python. You will learn how to collect, clean, analyze, and visualize data using Python. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Course content: The path is divided into 10 courses:
- 1. Introduction to Data Analysis with Python: This course introduces you to the Python programming language and teaches you the basics of data manipulation and analysis.
- 2. Data Visualization with Python: This course teaches you how to use Python to create data visualizations.
- 3. Exploratory Data Analysis with Python: This course teaches you how to use Python to explore data and identify patterns.
- 4. Statistical Modeling with Python: This course teaches you how to use Python to build statistical models.
- 5. Machine Learning with Python: This course teaches you how to use Python to build machine learning models.
- 6. Web Scraping with Python: This course teaches you how to use Python to scrape data from websites.
- 7. Natural Language Processing with Python: This course teaches you how to use Python to process natural language data.
- 8. SQL for Data Analysts: This course teaches you how to use SQL to query and analyze data from databases.
- 9. Git and GitHub for Data Analysts: This course teaches you how to use Git and GitHub to manage your code.
- 10. Data Analyst in Python Capstone: In this capstone project, you will apply the skills you have learned throughout the path to a real-world data analytics problem. You will work on a project with a team of other learners, and you will present your findings to a panel of experts.
What You Will Learn
Here are some of the things you will learn by choosing the Data Analyst in Python online course by Dataquest:
- Introduction to Python: This course will teach you the basics of Python, including how to install Python, how to use the Python interpreter, and how to write basic Python code.
- Data Manipulation with Pandas: This course will teach you how to use the Pandas library to manipulate data in Python. Pandas is a powerful library that makes it easy to filter, select, and summarize data.
- Data Visualization with Matplotlib: This course will teach you how to use the Matplotlib library to create data visualizations in Python. Matplotlib is a popular library for creating beautiful and informative data visualizations.
- Statistical Thinking: This course will teach you the basics of statistical thinking, including how to formulate hypotheses, collect data, and analyze data.
- Machine Learning with Scikit-Learn: This course will teach you how to use the Scikit-Learn library to build machine learning models in Python. Scikit-Learn is a powerful library for machine learning that is widely used in the data science community.
- Capstone Project: This course will give you the opportunity to apply the skills you have learned throughout the specialization to a real-world data analysis project.
So if you are looking for a data analytics courses online that can help you launch your career in data science, the Data Analyst in Python by Dataquest is a great option.
Key Highlights
Course Duration : 4 to 6 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 1,00,000+
Certification : Certificate on completion of course
Springboard : Springboard Data Analytics Career Track
Course overview: This Career Track is designed to help you learn the skills you need to become a data analyst. You will learn how to collect, clean, analyze, and visualize data using a variety of tools and techniques. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Course content: The Career Track is divided into 10 courses:
- Data Analysis Fundamentals: This module will teach you the basics of data analysis, including data wrangling, data visualization, and statistical analysis.
- Data Science Tools and Techniques: This module will teach you how to use the most popular data science tools and techniques, including Python, R, and SQL.
- Data Science Projects: This module will give you the opportunity to work on real-world data science projects.
- Communication and Professionalism: This module will teach you how to communicate effectively with stakeholders.
- Machine Learning: This module will teach you the basics of machine learning.
- Natural Language Processing: This module will teach you the basics of natural language processing.
- Big Data: This module will teach you the basics.
- SQL for Data Analysts: This module will teach you the basics of SQL.
- Python for Data Analysts: This module will teach you the basics of Python.
- Capstone Project: This module will give you the opportunity to work on a capstone project.
What You Will Learn
Here are some of the things you will learn by choosing the Springboard Data Analytics Career Track online course by Springboard:
- Data Analysis Fundamentals: This course will teach you the basics of data analysis, including data wrangling, data visualization, and statistical analysis.
- Data Science Tools and Techniques: This course will teach you how to use the most popular data science tools and techniques, including Python, R, and SQL.
- Data Science Projects: This course will give you the opportunity to work on real-world data science projects, which you can use to build your portfolio and demonstrate your skills to employers.
- Career Coaching: This course will provide you with career coaching, including resume and cover letter reviews, mock interviews, and help with finding a job.
So if you are looking for a data analytics courses online that can help you launch your career in data science, the Springboard Data Analytics Career Track is a great option.
Key Highlights
Course Duration : 6 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 2600+
Certification : Certificate on completion of course
Udemy : Data Science A-Z™: Hands-On Python & R In Data Science
Course overview: This course is designed to teach you the skills you need to become a data scientist. You will learn how to collect, clean, analyze, and visualize data using Python and R. You will also learn how to build machine learning models. You can also read Udemy reviews to see how this course has empowered learners in their data science journey.
Course content: The course is divided into 10 sections:
- Section 1: Introduction to Data Science: This section will give you an overview of data science, including what it is, why it’s important, and the different skills you need to be a data scientist.
- Section 2: Python for Data Science: This section will teach you the basics of Python, including how to install Python, how to use the Python interpreter, and how to write basic Python code.
- Section 3: R for Data Science: This section will teach you the basics of R, including how to install R, how to use the R interpreter, and how to write basic R code.
- Section 4: Data Manipulation with Pandas: This section will teach you how to use the Pandas library to manipulate data in Python and R.
- Section 5: Data Visualization with Matplotlib: This section will teach you how to use the Matplotlib library to create data visualizations in Python and R.
- Section 6: Machine Learning with Scikit-Learn: This section will teach you how to use the Scikit-Learn library to build machine learning models in Python and R.
- Section 7: Natural Language Processing with NLTK: This section will teach you how to use the NLTK library to perform natural language processing tasks in Python and R.
- Section 8: Deep Learning with TensorFlow: This section will teach you how to use the TensorFlow library to build deep learning models in Python and R.
- Section 9: Real-World Data Science Projects: This section will give you the opportunity to work on real-world data science projects.
- Section 10: Capstone Project: This section will give you the opportunity to work on a capstone project.
What You Will Learn
Here are some of the things you will learn by choosing the Data Science A-Z™: Hands-On Python & R In Data Science online course by Udemy:
- The basics of data science: You will learn about the different types of data science projects, how to get started with data science, and the different skills you need to be a data scientist.
- The basics of Python and R: You will learn the basics of Python and R, including how to install the languages, how to use the interpreters, and how to write basic code. You will also learn about the different libraries and tools that are used for data science in Python and R.
- Data manipulation with Pandas: You will learn how to use the Pandas library to manipulate data in Python and R. Pandas is a powerful library that makes it easy to filter, select, and summarize data.
- Data visualization with Matplotlib: You will learn how to use the Matplotlib library to create data visualizations in Python and R. Matplotlib is a popular library for creating beautiful and informative data visualizations.
- Machine learning with Scikit-Learn: You will learn how to use the Scikit-Learn library to build machine learning models in Python and R. Scikit-Learn is a powerful library for machine learning that is widely used in the data science community.
- Natural language processing with NLTK: You will learn how to use the NLTK library to perform natural language processing tasks in Python and R. NLTK is a popular library for natural language processing that provides a wide range of features.
- Deep learning with TensorFlow: You will learn how to use the TensorFlow library to build deep learning models in Python and R. TensorFlow is a powerful library for deep learning that is widely used in the data science community.
- Real-world data science projects: You will have the opportunity to work on real-world data science projects. You will work with a team of data scientists to collect data, clean data, analyze data, and create data visualizations. You will also learn how to present your findings to stakeholders.
- Capstone project: You will have the opportunity to work on a capstone project. You will work with a team of data scientists to collect data, clean data, analyze data, and create data visualizations. You will also present your findings to stakeholders.
So if you are looking for a data analytics courses online that can help you launch your career in data science, the Udemy Data Science A-Z™ Hands-On Python & R is a great option.
Key Highlights
Course Duration : 6 to 8 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 13,00,000+
Certification : Certificate on completion of course
LinkedIn Learning : Become a Data Analyst
Course overview: This course is designed to teach you the skills you need to become a data analyst. You will learn how to collect, clean, analyze, and visualize data using a variety of tools and techniques. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Course content: The course is divided into 13 modules:
- Introduction to Data Analysis: This module will give you an overview of data analysis, including what it is, why it’s important, and the different skills you need to be a data analyst.
- The Non-Technical Skills of Effective Data Scientists: This module will teach you the non-technical skills that are essential for data scientists, such as communication, teamwork, and problem-solving.
- Learning Excel: Data Analysis: This module will teach you how to use Excel to analyze data, including how to filter, sort, and summarize data.
- Data Fluency: Exploring and Describing Data: This module will teach you how to explore and describe data, including how to identify patterns and trends in data.
- Learning Data Analytics: 1 Foundations: This module will teach you the foundations of data analysis, including how to formulate hypotheses, collect data, and analyze data.
- Learning Data Analytics Part 2: Extending and Applying Core Knowledge: This module will teach you how to extend and apply your core knowledge of data analysis, including how to build machine learning models and create data visualizations.
- Excel Statistics Essential Training: 1: This module will teach you how to use the Excel Statistics functions to analyze data, including how to calculate descriptive statistics and perform hypothesis testing.
- Predictive Analytics Essential Training: Data Mining: This module will teach you how to use data mining techniques to build predictive models, including how to select features, build models, and evaluate models.
- Power BI Essential Training: This module will teach you how to use Power BI to analyze data, including how to create reports, dashboards, and visualizations.
- Learning Data Visualization: This module will teach you how to create data visualizations, including how to choose the right visualization for the data, and how to effectively communicate the results of your analysis.
- Tableau Essential Training (2022): This module will teach you how to use Tableau to create data visualizations, including how to connect to data sources, create visualizations, and share your work.
- SQL: Data Reporting and Analysis: This module will teach you how to use SQL to query databases, including how to select, filter, and join tables.
- R Essential Training: Wrangling and Visualizing Data: This module will teach you how to use R to analyze data, including how to import data, clean data, and create visualizations.
If you’re considering becoming a data analyst, don’t miss out on the comprehensive course offered by LinkedIn Learning. Read this LinkedIn Learning review to unlock your full potential in the field of data analysis.
What You Will Learn
Here are some of the things you will learn by choosing the Become a Data Analyst online course by LinkedIn Learning:
- The basics of data analysis: You will learn about the different types of data analysis projects, how to get started with data analysis, and the different skills you need to be a data analyst.
- The non-technical skills of effective data scientists: You will learn the non-technical skills that are essential for data scientists, such as communication, teamwork, and problem-solving.
- How to use Excel to analyze data: You will learn how to use Excel to filter, sort, and summarize data.
- How to explore and describe data: You will learn how to explore and describe data, including how to identify patterns and trends in data.
- How to use statistical methods to analyze data: You will learn how to use statistical methods to analyze data, such as hypothesis testing and regression analysis.
- How to build machine learning models: You will learn how to build machine learning models, such as decision trees and support vector machines.
- How to create data visualizations: You will learn how to create data visualizations, including how to choose the right visualization for the data, and how to effectively communicate the results of your analysis.
- How to use Power BI to analyze data: You will learn how to use Power BI to create reports, dashboards, and visualizations.
- How to use Tableau to create data visualizations: You will learn how to use Tableau to create data visualizations, including how to connect to data sources, create visualizations, and share your work.
- How to use SQL to query databases: You will learn how to use SQL to query databases, including how to select, filter, and join tables.
- How to use R to analyze data: You will learn how to use R to analyze data, including how to import data, clean data, and create visualizations.
So if you are looking for a data analytics courses online that can help you launch your career in data science, the Data Analytics Course by Linkedin Learning is a great option.
Key Highlights
Course Duration : 5 to 7 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 1,50,000+
Certification : Certificate on completion of course
Springboard : Data Analytics Bootcamp
Course overview: This bootcamp is designed to teach you the skills you need to become a data analyst. You will learn how to collect, clean, analyze, and visualize data using a variety of tools and techniques. You will also learn how to communicate your findings to stakeholders in a clear and concise way.
Course content: The bootcamp is divided into 10 courses:
- Data Analysis Fundamentals: This course will teach you the basics of data analysis, including data wrangling, data visualization, and statistical analysis.
- Data Science Tools and Techniques: This course will teach you how to use the most popular data science tools and techniques, including Python, R, and SQL.
- Data Science Projects: This course will give you the opportunity to work on real-world data science projects.
- Communication and Professionalism: This course will teach you how to communicate effectively with stakeholders.
- Machine Learning: This course will teach you the basics of machine learning.
- Natural Language Processing: This course will teach you the basics of natural language processing.
- Big Data: This course will teach you the basics of big data.
- SQL for Data Analysts: This course will teach you the basics of SQL.
- Python for Data Analysts: This course will teach you the basics of Python.
- Capstone Project: This course will give you the opportunity to work on a capstone project.
What You Will Learn
Here are some of the things you will learn by choosing the Data Analytics Bootcamp online course by Springboard:
- Fundamentals of data analysis: You will learn the basics of data analysis, including data collection, data cleaning, data exploration, and data visualization.
- Data cleaning and preparation: You will learn how to clean and prepare data for analysis.
- Exploratory data analysis (EDA): You will learn how to use EDA to gain insights into your data.
- Statistical modeling: You will learn how to use statistical modeling to make predictions about your data.
- Machine learning: You will learn how to use machine learning to automate data analysis tasks.
- Data visualization: You will learn how to create data visualizations that are both informative and visually appealing.
- SQL: You will learn how to use SQL to query and analyze data from databases.
- Git and GitHub: You will learn how to use Git and GitHub to manage your code.
- Capstone project: You will complete a capstone project that will give you the opportunity to apply the skills you have learned throughout the bootcamp.
So if you are looking for a data analytics courses online that can help you launch your career in data science, the Springboard Data Analytics Bootcamp is a great option.
Key Highlights
Course Duration : 6 to 9 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 10,000+
Certification : Certificate on completion of course
edX : MITx MicroMasters in Statistics and Data Science
Course overview: The MITx MicroMasters in Statistics and Data Science online course is one of the top data analytics courses online which provides a comprehensive overview of essential topics and skills in the field of data analytics. This MicroMasters program is designed to teach you the fundamental concepts and skills in statistics and data science. It is comprised of four online courses that cover probability, statistics, machine learning, and data visualization. The MITx MicroMasters in Statistics and Data Science offered on edX receives rave edX reviews for its comprehensive curriculum and rigorous coursework.”
Course content: The four courses in the program are:
- Probability and Statistics for Data Science: This course covers the fundamental concepts of probability and statistics, including probability distributions, sampling, hypothesis testing, and regression analysis.
- Machine Learning for Data Science: This course covers the fundamentals of machine learning, including supervised learning, unsupervised learning, and reinforcement learning.
- Data Visualization for Data Science: This course covers the fundamentals of data visualization, including creating charts, graphs, and maps.
- Capstone Project in Data Science: This course requires you to complete a capstone project that applies the skills you have learned in the other three courses.
What You Will Learn
Here are some of the things you will learn by choosing the MITx MicroMasters in Statistics and Data Science online course by edX:
- Master the foundations of data science, statistics, and machine learning. This includes topics such as probability, statistics, linear algebra, machine learning, and data visualization.
- Analyze big data and make data-driven predictions through probabilistic modeling and statistical inference. You will learn how to use data to answer questions, make predictions, and identify trends.
- Develop and build machine learning algorithms to extract meaningful information from seemingly unstructured data. You will learn how to use machine learning to automate tasks and make predictions.
- Learn popular unsupervised learning methods, including clustering methodologies and supervised methods such as deep neural networks. You will learn how to use machine learning algorithms to classify data, cluster data, and make predictions.
- Gain hands-on experience with data analysis and machine learning through projects and assignments. You will work on real-world data sets and projects to apply the skills you learn in the course.
- Earn a MicroMasters credential from MIT that is recognized by employers around the world. This credential can help you advance your career in data science or a related field.
So if you are looking for a data analytics courses online that can help you launch your career in data science, the edX MITx MicroMasters in Statistics and Data Science is a great option.
Key Highlights
Course Duration : 6 to 12 Months
Intermediate Level : No prior knowledge required
No. of Students already Enrolled : 42,000+
Certification : Certificate on completion of course
Frequently Asked Question
Yes, coding is essential when you pursue a Data Analytics Degree Online. However, it does not demand highly advanced programming skills. But it is a must to master the basics of R and Python. Also, an extensive proficiency in querying languages like SQL is more than necessary.
- Python. Python is the most widely used data science programming language in the world today.
- JavaScript. JavaScript is another object-oriented programming language used by data scientists.
- Scala.
- R.
- SQL. ...
- Julia.
Average Amazon Data Analyst salary in India is ₹ 5.4 Lakhs for less than 1 year of experience to 6 years. Data Analyst salary at Amazon India ranges between ₹ 1.8 Lakhs to ₹ 16.0 Lakhs. According to our estimates it is 32% more than the average Data Analyst Salary in Internet Companies.
Here are some examples of the cost of IIM data analytics courses online:
- Big Data Analytics from IIM Ahmedabad: INR 139,500
- The cost of the IIM Data Analytics Course Online varies depending on the IIM and the specific course. However, most courses cost between INR 50,000 and INR 200,000.
- Business Analytics & Intelligence from IIM Bangalore: INR 705,000
- Advanced Data Analytics for Managers from IIM Kozhikode: INR 60,000
- Executive Programme on Business Analytics from IIM Calcutta: INR 390,000
- Programme on Data Science & AI from IIM Bangalore: INR 1,000,000
For the Data Analyst titles, employers like Accenture, Tata Consultancy Services and Ernest & Young (E.Y.) are some of the top respondents. However, the reported salaries are highest at HSBC, making the average pay to be at Rs. 6,83,000.
The length of time it takes to complete a big data analytics courses online free varies depending on the specific course. Some courses can be completed in as little as 6 weeks, while others may take up to 6 months.
- Google Data Analytics Professional Certificate
- IBM Data Science Professional Certificate
- Coursera Data Analyst with Python Specialization
- edX Data Science with Python Specialization
- Udemy Data Science A-Z™
