The 15 Best Udemy Data Analytics Courses for 2023
-
Kritika Yadav
- Updated Date: June 30, 2023
- 210K+ Courses
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If you want to learn new skills and further your knowledge, Udemy is a great place to do that. Giving you access to explore hundreds of online courses and educational videos.
The Top Udemy Data Analytics Courses on Udemy for 2023 is an up-to-date guide that provides learners with a comprehensive list of the best Data Analytics courses Udemy. With the growth of data science and analytics, it has become more important than ever to gain knowledge and skills in the field. This guide provides learners with an overview of the different Best Data Analytics courses available, their objectives, and how they can help equip learners with the skills and knowledge they need to succeed in the world of best data analytics courses. It also provides guidance on which courses are best suited for different levels of experience, as well as tips on how to make the most of the courses. With this guide, learners can make an informed decision when choosing the Top Udemy data analytics courses on 2023.
Udemy reviews can be incredibly helpful when deciding whether or not to enroll in a course.
| Top udemy data analytics courses | Ratings | Annual fees (INR) |
|---|---|---|
|
Microsoft Excel - Advanced Excel Formulas & Functions (Bestseller) |
4.9 |
INR 449 |
|
Microsoft Excel - Advanced Excel Formulas & Functions (Bestseller) |
4.7 |
INR 449 |
|
Data Analysis with Pandas and Python (Bestseller) |
4.7 |
INR 449 |
|
Data Analysis Real world use-cases- Hands-on Python (Bestseller) |
4.6 |
INR 449 |
|
Ver Udemy statistics for data science and business analysis |
4.6 |
INR 449 |
|
The Data Analyst Course: Complete Data Analyst Bootcamp 2023 |
4.6
|
INR 449 |
|
The Complete Introduction to Data Analytics with Tableau |
4.6 |
INR 449 |
|
SQL for NEWBS: Weekender Crash Course |
4.5 |
INR 499 |
|
Data Analysis Essentials Using Excel |
4.5 |
INR 399 |
|
Data Analysis & Visualization: Python | Excel | BI | Tableau |
4.3 |
INR 399 |
|
Data Analysis Masterclass (4 courses in 1) |
4.7 |
INR 399 |
|
2023 Data Analysis & Visualization in python Masterclass |
4.6 |
INR 449 |
|
Master Data Science Prerequisites - Numpy - Pandas- Seaborn |
4.6 |
INR 449 |
|
Complete Introduction to Google/Looker Data Studio 2023 |
4.6 |
INR 399 |
Table of Contents
What are the best udemy data analytics courses?
Udemy data analytics courses provide an excellent opportunity to gain the skills and knowledge needed to excel in data analysis and related fields. With the help of free Udemy courses and comprehensive course material, participants can gain a comprehensive understanding of the subject and develop the skills necessary to apply their knowledge in real-world settings.The Udemy cost for courses varies depending on the course, with prices ranging from free to thousands of rupee.
Here are the Top 15 Udemy data analytics online courses that you can take up from home that include:
Microsoft Excel - Advanced Excel Formulas & Functions
Udemy’s Microsoft Excel – Advanced Excel Formulas & Functions course is a comprehensive and detailed guide to the advanced features of Excel. Students will learn how to use formulas and functions to create dynamic and powerful spreadsheets. The course covers a wide range of topics, from basic to advanced Excel functions.
What You Will Learn
- Students will learn about the various types of functions available in Excel, such as logical, lookup, financial, statistical, and more.
- They will also learn how to create and work with tables, charts, and graphs.
- The course covers how to use data validation, error checking, and other data analysis techniques.
- The course also includes a comprehensive section on working with Excel macros.
- Students will learn how to create and use macros to automate routine tasks and add new features to their spreadsheets. They will also learn how to debug and troubleshoot their macros.
This course includes:
9.5 hours of on-demand video
Access on mobile and TV
12 articles and 4 downloadable resources
Certificate of completion
Learning Python for Data Analysis and Visualization Ver 1
Udemy’s Learning Python for Data Analysis and Visualization Ver 1 course is a comprehensive guide to understanding and applying the Python programming language to everyday data analysis and visualization tasks.
This course covers the basics of Python programming, as well as more advanced topics such as data wrangling and visualization. The course is designed to be accessible to both beginners and experienced Python users and provides step-by-step guidance to help students understand and apply the concepts they learn.
What You Will Learn
- The course begins with a brief introduction to Python and its uses and then introduces several tools that are essential for data analysis and visualization.
- This includes Jupyter Notebooks for interactive programming and visualizing data, and the Pandas library for data wrangling and manipulation.
- Students will then dive deeper into the Pandas library, learning how to query and manipulate data, create new data frames, and more.
- The course also covers more advanced topics such as the Seaborn library for visualizing data, and how to create interactive web-based visualizations with Plotly.
- Students will also learn how to use machine learning algorithms for predictive analytics, and how to use the TensorFlow library for deep learning.
Want Know More About Pluralsight?
This course includes:
21 hours of on-demand video
4 downloadable resources
3 articles
Certificate of completion
Data Analysis with Pandas and Python
Udemy’s Data Analysis with Pandas and Python course is a comprehensive introduction to data analysis techniques using the Python programming language and the popular Pandas library. This course covers a variety of topics, from basic data wrangling and cleaning to more complex topics such as data visualization and statistical analysis. This course is suitable for both beginners and experienced data analysts, as the instructor covers all the basics of the language and library before moving on to more advanced topics.
What You Will Learn
- The course is split into several sections, each focusing on a different aspect of data analysis. The first section covers the basics of Python, such as data types, functions, and classes. This section also introduces the Pandas library, which is used to manipulate data.
- The second section focuses on data wrangling and cleaning, such as dealing with missing values and dealing with outliers. The third section covers data visualization, including plotting data with matplotlib.
- The fourth section covers statistical analysis, including descriptive statistics and inferential statistics.
- Finally, the fifth section covers machine learning and data mining. The course is taught by a highly experienced instructor, with over 10 years of experience in data analysis.
- The course also includes plenty of practical exercises and projects, so you can put your newfound knowledge into practice.
This course includes:
21.5 hours of on-demand video
7 downloadable resources
40 articles
Certificate of completion
Udemy Data Analytics Real-World Projects in Python
Udemy Data Analytics Real-World Projects in Python course is designed to help individuals learn the essential skills needed to become successful data analysts. The course is taught by industry professionals and provides hands-on practice in real-world projects. It also includes a variety of resources, including video lectures, quizzes, and code snippets.
What You Will Learn
- By taking this course, students will gain a deep understanding of the Python programming language, as well as the ability to solve complex data problems.
- This comprehensive course covers the fundamentals of Python programming, as well as advanced topics such as data manipulation, data visualization, machine learning, and more.
- They will also acquire essential skills in data manipulation, data visualization, and machine learning.
- Students are allowed to build their own Udemy data analytics projects.
- Additionally, they will learn how to use popular Python libraries such as NumPy, Pandas, and Matplotlib.
This course includes:
7 sections
6h 54m total length
47 lectures
Certificate of completion
Data Analysis Real world use-cases- Hands-on Python
Data Analysis Real-world use-cases- Hands-on Python is an online learning course offered by Udemy. In this course, participants learn how to use the Python programming language to analyze real-world data sets and discover meaningful insights. The course is divided into 9 sections with lectures, quizzes, and hands-on activities.
What You Will Learn
- In the first section, students learn the basics of Python and get familiar with the Jupyter Notebook. In the second section, participants learn about data structures, data cleaning, and data manipulation.
- In the third section, students learn about visualization techniques and how to create meaningful visualizations for data sets. In the fourth section, participants learn about machine learning algorithms and how to use them with Python.
- In the fifth section, students learn about Natural Language Processing (NLP) and how to use it with Python. In the sixth section, participants learn about data analysis techniques and how to use them with Python.
- In the seventh section, students learn about the application of data analysis techniques in real-world scenarios. In the eighth section, participants learn about the use of databases and SQL with Python.
- Finally, in the ninth section, students learn about data science projects and how to design and develop them. Overall, this course provides a comprehensive introduction to data analysis and its applications in real-world scenarios.
This course includes:
7 sections
6h 54m total length
47 lectures
Certificate of completion
Data Analysis & Statistics: Practical course for beginners
Udemy’s “Data Analysis & Statistics: Practical course for beginners” course is designed to help students gain the necessary skills to become proficient in data analysis and statistics. This course covers the fundamentals of data analysis and statistics, including descriptive statistics, probability, hypothesis testing, and sampling techniques. The course is designed for students with little to no prior experience in data analysis and statistics. It is ideal for those who are looking to gain a better understanding of the concepts and techniques used in data analysis and statistics. The course is divided into four sections.
What You Will Learn
- In the first section, you will learn the basics of data analysis and statistics, including data types, descriptive statistics, probability, and hypothesis testing.
- In the second section, you will learn about sampling techniques and their applications.
- In the third section, you will learn about the various types of statistical tests and their applications.
- Finally, in the fourth section, you will learn about the use of computer software to analyze data.
This course includes:
9 sections
7h 39m total length
94 lectures
Certificate of completion
The Data Analyst Course: Complete Data Analyst Bootcamp 2023
The Data Analyst Course: Complete Data Analyst Bootcamp 2023 is a comprehensive Udemy analytics course designed to help learners develop the skills they need to become a successful data analysts. This course covers the fundamentals of data analysis, including data analysis techniques, data analysis tools, and data visualization. Additionally, learners will gain hands-on experience by building a variety of data analysis projects and working with real-world data sets. The course is broken down into four modules.
What You Will Learn
- In the first module, learners will learn the fundamentals of data analysis, including types of data, data collection, data analysis techniques, and data visualization.
- The second module introduces learners to data analysis tools, such as Excel and SQL, and teaches them how to use these tools to analyze data.
- In the third module, learners will build several data analysis projects, such as analyzing customer data, creating data visualizations, and building predictive models.
- Finally, the fourth module focuses on advanced data analysis topics, including machine learning, natural language processing, and big data.
- Throughout the course, learners will be exposed to real-world data sets, allowing them to gain hands-on experience and build their data analysis skills.
This course includes:
20.5 hours of on-demand video
143 downloadable resources
14 articles
Certificate of completion
The Complete Introduction to Udemy Data Analytics with Tableau
“The Complete Introduction to Data Analytics Udemy with Tableau” course is designed to provide its students with a comprehensive introduction to Udemy data analytics using the popular Tableau software.
What You Will Learn
- This course is perfect for those who are interested in learning the fundamentals of Udemy data analytics, as it covers the basics of data visualization, data analysis, and data storytelling.
- The course starts with a brief introduction to Tableau and its features.
- Students will then learn how to connect Tableau to various data sources, such as Excel, CSV, and other databases.
- This course also covers more advanced topics, such as creating calculated fields, data blending, and creating dashboards.
- Additionally, students will explore Tableau’s advanced analytics capabilities, such as analytics functions and trend lines.
This course includes:
8.5 hours on-demand video
52 downloadable resources
1 article
Certificate of completion
SQL for NEWBS: Weekender Crash Course
Udemy’s “SQL for NEWBS: Weekender Crash Course” is a comprehensive online education course designed to help new students quickly and easily learn the basics of SQL. This course covers all the fundamental concepts and techniques for writing SQL queries, allowing students to quickly get up to speed with the language. It also provides an introduction to more advanced topics such as database design, normalization, and SQL performance optimization. The course is broken down into eight modules, each focusing on a different aspect of SQL.
What You Will Learn
- It starts with an introduction to the language, followed by a module on data types, and then moves on to writing queries and setting up databases.
- The course also covers topics such as joins, subqueries, and stored procedures.
- Finally, the course wraps up with a section on database security and optimization.
- Throughout the course, students are provided with plenty of hands-on practice with real-world examples.
- This helps them learn faster and retain the information better. The course also includes quizzes and exercises to help students test their understanding of the material.
This course includes:
3.5 hours on-demand video
Access on mobile and TV
4 articles
Certificate of completion
Data Analysis Essentials Using Excel
Udemy’s Data Analysis Essentials Using Excel course is designed to give students the knowledge and skills they need to become proficient in data analysis using Microsoft Excel.
What You Will Learn
- The course covers the fundamentals of Excel, including setting up workbooks, formatting data, creating charts and graphs, and using various Excel functions.
- The course also covers more advanced topics such as creating and using pivot tables, working with large datasets, using macros and VBA, and writing formulas.
- The course is broken down into several modules, each of which builds upon the material from the previous one.
- Each module includes a short video lecture, followed by a hands-on lab or project to practice the material covered.
- The course also includes quizzes and assignments to test the student’s knowledge.
This course includes:
12 hours on-demand video
Access on Mobile and TV
8 articles
172 downloadable rescources
Data Analysis & Visualization: Python | Excel | BI | Tableau
The Data Analysis & Visualization: Python | Excel | BI | Tableau courses from Udemy are designed to teach students the fundamentals of data analysis and visualization.
What You Will Learn
- Through a combination of lectures, demonstrations, and hands-on exercises, students will learn how to analyze data, create visualizations, and automate data-driven decisions.
- The courses cover a wide range of topics, including data wrangling, descriptive and predictive analytics, machine learning, and data visualization.
- Students will be introduced to popular software, such as Python, Excel, Tableau, and Power BI, and will learn how to use them to extract information from large datasets.
- In addition, the courses will provide an introduction to data science concepts, including hypothesis testing and regression analysis.
- By the end of the courses, students will have gained a comprehensive understanding of data analysis and visualization techniques, as well as the ability to effectively use Python, Excel, Tableau, and Power BI to extract meaningful insights from data.
This course includes:
9.5 hours of on-demand video
Access on mobile and TV
12 articles
Certificate of completion
Data Analysis Masterclass (4 courses in 1)
Udemy’s Data Analysis Masterclass (4 courses in 1) is a comprehensive online course that provides a comprehensive introduction to data analysis. It is designed to teach learners the basics of data analysis, including understanding data types, data structures, and data analysis algorithms. Additionally, the course covers data visualization, combining datasets, and presenting data to stakeholders. The course is divided into four modules, each covering a different aspect of data analysis.
What You Will Learn
- The first module focuses on introducing learners to data analysis. This includes understanding data types, data structures, and data analysis algorithms. It also includes a section on data visualization, combining datasets, and presenting data to stakeholders.
- The second module covers using Excel and SQL to analyze data. This includes using formulas, pivot tables, and SQL queries to analyze data. Additionally, it covers data cleaning and how to use Excel and SQL to create reports.
- The third module covers data wrangling and machine learning. This includes understanding basic machine learning concepts, such as supervised and unsupervised learning. It also covers data wrangling and how to use Python and R to clean, transform, and analyze data.
- The fourth module covers data storytelling and communication. This includes understanding the basics of data storytelling, such as effective data visualization and presenting data to stakeholders.
- It also covers data communication, such as how to communicate data results to stakeholders.
Want To Know How Much Coursera Costs?
This course includes:
9 sections
16h 54m total length
228 lectures
Certificate of Completiton
2023 Data Analysis & Visualization in python Masterclass
The Udemy 2023 Data Analysis & Visualization in Python Masterclass is a comprehensive course designed to teach students the fundamentals of data analysis and visualization in Python. It covers topics such as data wrangling, data exploration, data visualization, machine learning, and more. The course is suitable for students of all levels, from beginners to advanced, and provides an in-depth look at the Python programming language and its applications for data analysis and visualization.
What You Will Learn
- The course starts with an introduction to data analysis and visualization in Python and works its way up to more advanced concepts. It covers the basics of Python programming, such as variables, functions, and classes, as well as more advanced topics like data wrangling, data exploration, data visualization, machine learning, and more.
- The course also provides hands-on exercises and projects to reinforce the concepts learned. The course is divided into five modules, each one focusing on a different topic.
- Students learn the basics of Python programming and data analysis and visualization, such as scatter plots, line graphs, histograms, and more. They also cover advanced topics such as deep learning and natural language processing.
- At the end of the course, students will have a solid understanding of data analysis and visualization in Python and will be able to apply their knowledge to real-world problems.
- They will also be able to confidently use Python to explore, analyze, and visualize data.
This course includes:
9.5 hours of on-demand video
Access on mobile and TV
12 articles
Certificate of completion
Master Data Science Prerequisites - Numpy - Pandas- Seaborn
Udemy’s “Master Data Science Prerequisites – Numpy – Pandas- Seaborn” course is designed to teach students the basics of data science. It covers the fundamentals of the three most widely used Python libraries in data science: Numpy, Pandas and Seaborn. The course contains 5 sections, each focusing on a different aspect of data science.
What You Will Learn
- The first section of the course focuses on the basics of Numpy, which is the fundamental library for numerical computing in Python. This section covers topics such as creating and manipulating arrays, indexing, slicing, functions, and linear algebra.
- The second section of the course covers the basics of Pandas, which is the most popular library for data manipulation and analysis in Python. This section covers topics such as importing data, creating and manipulating data frames, and merging and joining data frames.
- The third section of the course focuses on the basics of Seaborn, which is the most popular library for data visualization in Python. This section covers topics such as creating different types of charts, customizing charts, and creating interactive plots.
- The fourth section of the course is dedicated to machine learning and covers topics such as supervised learning, unsupervised learning, and reinforcement learning.
- The fifth section of the course is dedicated to natural language processing and covers topics such as text preprocessing, feature extraction, and text classification.
This course includes:
38 sections
7h 53m total length
81 lectures
Certificate of completion
Complete Introduction to Google/Looker Data Studio 2023
The Complete Introduction to Google/Looker Data Studio 2023 course is a comprehensive crash course on data analytics and visualization. It is designed to equip users with the latest tools and techniques to analyze, interpret, and present data in the most effective way possible. The course covers topics such as data architecture and modelling, data visualization, data mining, and more.
What You Will Learn
- The course is divided into three parts: core concepts, advanced topics, and hands-on exercises. The core concepts section introduces users to the basics of Udemy data analytics and visualization.
- This includes topics like data sources, data types, and data integration. The advanced topics section covers more advanced concepts, such as data mining and predictive analytics.
- The hands-on exercises allow users to get their hands dirty with actual data. This course is ideal for those who want to gain the skills and knowledge needed to become a data analyst or data scientist.
- It is also great for those who want to learn more about data analysis and visualization to improve their business performance.
- The course is comprehensive and contains everything users need to get started with data analytics.
This course includes:
5 hours of on-demand video
Access on mobile and TV
9 articles
5 downloadable resources
Udemy Alternatives
If we compare Udemy vs Coursera, if you're looking for a course on a specific skill or topic and don't necessarily need a credential, Udemy may be a better fit. If you're looking for a more structured and academic learning experience with recognized credentials, Coursera may be a better choice.
If we compare Udacity vs Udemy, at the end of the day, you should pick Udemy if you're looking for affordability, course selection, and language support. But if you're looking for mentorship, career support, high-quality courses, and real-world projects, then Udacity is the better pick for you.
If we compare Udemy vs LinkedIn, it's evident that Udemy has a higher value for money than LinkedIn Learning. Talking about the overall quality of content & learning material, if we compare Udemy vs LinkedIn, we can see that better content quality is offered by Udemy.
If we compare Udemy vs Skillshare, Udemy is a better choice for those looking for a more comprehensive learning experience, while Skillshare is better for those who want a more focused learning experience
If we compare Udemy vs Pluralsight, Pluralsight is probably the better site for taking classes specifically related to software and development overall. However, Udemy's top courses in these topics are as good as those on Pluralsight, and you can pay for them individually without committing to a subscription. This may suit you better.
The Last Thought:
The best Udemy data science courses can help you acquire the skills necessary to become a successful data analyst. From learning the basics to mastering advanced best analytics courses, there are a variety of courses available that can help you hone your skills and become a more valuable asset to any business or organization. With the right course, you can become an expert in best analytics courses and make a valuable contribution to the success of any company.
Also Read Top 15 Coursera Courses
Frequently Asked Question
You can make use of the playlists to learn skills needed for a data analyst in 3 months. Remember this important point doing practical work is more important than theory. Spend 20% time on theory and 80% time on implementing it.
Udemy is an institute that offers a wide range of Data Analytics Courses Udemy. This institute ranked number 1 and is also awarded as India's best institute for Data Analytics Courses. The institutes provide job-oriented attractive learning to candidates who do not have prior knowledge about Data analytics.
It's never too late to become a data scientist. Join udemy to pursue data analyst because as long as you've got the right skills, you can become a data scientist at any age.
Becoming a data analyst isn't hard per se, though it does require certain technical skills that might be more challenging for some than others. Additionally, because of continuing advancements in the field, data analysis is a career path that requires ongoing education.
Google Data Analyst salary in India ranges between ₹ 4.0 Lakhs to ₹ 70.0 Lakhs with an average annual salary of ₹ 23.3 Lakhs. Salary estimates are based on 122 Google's latest salaries received from various employees of Google.
As with any scientific career, data analysts require a strong grounding in mathematics to succeed. It may be necessary to review and, if necessary, improve your math skills before learning how to become a data analyst.
Yes, Udemy data analytics free courses that you can enroll in. Here are a few options you might be interested in:
- "Data Analytics Fundamentals" by Simplilearn
- "Introduction to Data Analytics for Managers" by Babson College
- "Data Analytics Made Simple" by Lillian Pierson, P.E.
- "Data Analytics for Beginners" by Jose Portilla
- "Data Analytics with Excel PivotTables" by Chris Dutton
Article Updates:
28/06/23 – Relevant Query Update
11/05/23 – General Update
06/04/23 – Udemy Alternatives
