The Ultimate Guide to Data Science Course With Placement Guarantee

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India Education, a renowned group of higherEd experts, has dedicated its expertise to analyzing, monitoring, and enhancing the content of Job Oriented Full Stack Developer Courses offered by various providers since 2020. Our higherEd experts diligently curate an annual list of the best-outcome-based course providers by leveraging our extensive knowledge and student feedback. In this listicle, we present highly recommended Job Oriented Full Stack Developer courses that we would endorse to our own family and friends.

Introducing our comprehensive and highly sought-after Data Science Course with Placement Guarantee. Are you ready to embark on an exciting journey into the world of data science and secure a promising career? Look no further! Our meticulously designed program is tailored to equip you with the necessary skills and knowledge to excel in this rapidly growing field.

Enroll in our Data Science Course with Placement Guarantee today and unlock a world of opportunities. Throughout the course, you will delve into the core concepts of data science, including statistical analysis, machine learning algorithms, data visualization, and predictive modeling. Our expert instructors, with their vast industry experience, will guide you through hands-on projects and real-world case studies, ensuring you gain practical insights and valuable problem-solving skills.

But that’s not all! What sets our Data Science Course with Placement Guarantee apart is our commitment to your career success. We understand the importance of securing a job after completing your training, which is why we have partnered with leading companies and organizations in the industry. Our extensive network of employers eagerly awaits the chance to connect with our talented graduates.

With our Placement Guarantee, you can be confident that we will support you every step of the way. Our dedicated placement team will provide personalized career guidance, interview preparation, and resume building assistance. We will actively market your skills and credentials to potential employers, leveraging our strong industry relationships to maximize your chances of landing a desirable position in the field of data science.

Don’t miss out on this extraordinary opportunity! Enroll in our Data Science Course with Placement Guarantee now and fast-track your career in this data-driven world. Join our community of successful data scientists and secure your place in the industry. Remember, the keyword to your success is our Data Science Course with Placement Guarantee.

Methodology

Our higherEd experts have meticulously crafted a top-notch methodology focused on ensuring a Data Science Course with Placement Guarantee. At India Education, we consider several key qualities and factors when selecting the best data science courses. Here is a comprehensive methodology outlining the essential aspects we evaluate for a Data Science Course with Placement Guarantee, presented in points:

1. Instructor Expertise:

– Our higherEd experts meticulously select instructors with exceptional qualifications and extensive experience in delivering data science courses.

– We prioritize instructors who possess practical experience in the field of data science, preferably with a strong professional background or relevant industry certifications.

2. Student Reviews and Testimonials:

– We gather feedback from more than 10,000 previous students who have taken the course, focusing on their satisfaction and the course’s effectiveness.

– We consider student reviews regarding the course’s content, teaching methodology, and overall learning experience.

3. Learning Resources:

– We assess the availability of supplementary learning resources, such as textbooks, online tutorials, or documentation, to support the comprehensive learning journey.

– Our courses provide access to relevant data science libraries, tools, and software platforms.

4. Curriculum Coverage:

– We ensure that the course curriculum comprehensively covers all fundamental aspects of data science, including statistical analysis, machine learning algorithms, data visualization, and predictive modeling.

– Our Data Science Courses offer a well-rounded understanding of the field, encompassing both theoretical concepts and practical applications.

5. Practical Learning:

– We emphasize hands-on projects and practical exercises to reinforce theoretical knowledge and enhance practical skills.

– Our courses provide ample opportunities to work on real-world data science projects or simulations, enabling students to gain practical experience and develop robust problem-solving abilities.

6. Technology Stack:

– We assess the course’s alignment with industry-standard technologies and tools commonly used in data science.

– Our Data Science Courses cover popular programming languages (such as Python or R), data manipulation libraries (like Pandas), machine learning frameworks (such as TensorFlow or Scikit-learn), and data visualization tools (like Tableau or Matplotlib).

7. Industry Connections:

– Each course establishes partnerships or affiliations with industry professionals or companies in the data science field.

– We provide networking opportunities, job placement assistance, or internship programs to enhance students’ prospects for employment after completing the course.

8. Flexibility and Accessibility:

– Our courses offer flexible scheduling options, allowing students to choose the course duration and learning format that best suits their availability and preferences.

9. Price and Value:

– We ensure that each course offers competitive pricing with discounted features, considering the course’s duration and reputation in the industry.

10. Alumni Success:

– We showcase success stories of previous course alumni to showcase the effectiveness of the course in helping students achieve their career goals in the field of data science.

– Our alumni have successfully secured relevant job positions and advanced their careers in the data science industry.

By adhering to this comprehensive methodology, we guarantee a Data Science Course with Placement Guarantee that equips you with the necessary skills and connections to thrive in the data-driven world.

What is a Job Oriented Data Science Course With Placement Guarantee?

A Job Oriented Data Science Course with Placement Guarantee is a specialized training program designed to provide individuals with the necessary skills and knowledge required to pursue a career in the field of data science. This type of course focuses on practical, industry-relevant training that prepares students for real-world data science challenges and positions them for successful job placements.

Overall, a Job Oriented Data Science Course with Placement Guarantee aims to equip individuals with the skills, knowledge, and industry connections necessary to secure employment in data science roles. It provides a structured learning path, practical training, and dedicated support to ensure students’ successful transition into the data science industry.
Also Read: Top 10 Data Science Online Courses With Certificate 2023

Best Data Science Course with Institutes

Institute	Duration(in monthS)	Pricing(INR)
Great Learning	5-9	3,00,000 - 4,00,000
Manipal ProLearn	6	80,000 - 1,00,000
Jigsaw Academy	Varies	30,000 - 1,50,000
UpGrad	11	2,85,000 - 3,50,000
Simplilearn	6-12	2,00,000 - 2,50,000
Edureka	3	35,000 - 50,000
AnalytixLabs	5	90,000 - 1,20,000
Ivy Pro School	6	1,50,000 - 2,00,000
Imarticus Learning	5	1,50,000 - 2,00,000
Analytic Edge	3-6	70,000 - 1,00,000

Data Science Course Fee

The fee for a Data Science Course with Placement Guarantee can vary depending on various factors such as the reputation of the training institute, course duration, curriculum coverage, additional benefits provided, and the level of industry connections and support offered. It’s important to note that specific fee information is subject to change and may vary across different institutes or training providers. Therefore, it’s recommended to research and contact specific institutes to obtain the most accurate and up-to-date fee details.

In India, the fee for a Data Science Course with Placement Guarantee typically ranges from INR 50,000 to INR 3,00,000 or more. However, please keep in mind that these figures are approximate and can vary significantly based on the factors mentioned earlier.

It’s advisable to consider factors beyond just the fee when choosing a Data Science Course. Evaluate the curriculum, practical learning opportunities, industry connections, placement track record, and overall value provided by the course to make an informed decision. Additionally, inquire about any available scholarships, discounts, or installment payment options that may be offered by the training institute.

Data Science Course Syllabus

The syllabus for a Data Science course can vary depending on the institute, program level (undergraduate or postgraduate), and the depth of coverage. However, here is a general outline of topics that are commonly included in a Data Science course syllabus:

1. Introduction to Data Science:

– Overview of data science and its applications

– Introduction to data analysis, data visualization, and machine learning

2. Mathematics and Statistics for Data Science:

– Linear algebra

– Probability theory

– Statistical inference and hypothesis testing

– Regression analysis

3. Programming and Tools for Data Science:

– Python programming language for data science

– Data manipulation and analysis with libraries such as NumPy and Pandas

– Data visualization with Matplotlib and Seaborn

4. Data Preprocessing and Cleaning:

– Data cleaning techniques

– Handling missing data and outliers

– Feature engineering and selection

5. Exploratory Data Analysis (EDA):

– Descriptive statistics

– Data visualization using libraries like Matplotlib and Plotly

– Univariate and bivariate analysis

6. Machine Learning Algorithms:

– Supervised learning (classification and regression)

– Unsupervised learning (clustering and
dimensionality reduction)

– Ensemble methods and model evaluation

7. Deep Learning:

– Neural networks and deep learning fundamentals

– Convolutional Neural Networks (CNN) for image data

– Recurrent Neural Networks (RNN) for sequential data

8. Big Data Analytics:

– Introduction to distributed computing and Hadoop

– Apache Spark for big data processing

– Handling large-scale datasets and parallel computing

9. Natural Language Processing (NLP):

– Text preprocessing and tokenization

– Sentiment analysis and text classification

– Named Entity Recognition (NER) and topic modeling

10. Data Visualization and Storytelling:

– Advanced data visualization techniques using libraries like Tableau or Plotly

– Creating impactful data visualizations and storytelling with data

11. Data Science Project:

– Hands-on project work to apply data science concepts

– Exploratory data analysis, feature engineering, model building, and evaluation

12. Ethical and Legal Aspects of Data Science:

– Privacy, security, and ethical considerations in data science

– Compliance with regulations such as GDPR (General Data Protection Regulation)

Empower Yourself: Tips for Selecting the Best Data Science Course with Placement Guarantee

Some tips for selecting the best data science course with placement guarantee are as follows:

Do your research. There are many data science courses available, so it’s important to do your research and compare different options. Consider the course curriculum, the instructor’s qualifications, and the reputation of the institution.
Consider your needs. What are your goals for taking a data science course? Are you looking to learn the basics of data science, or do you want to be prepared for a career in the field? Once you know your needs, you can narrow down your options and find a course that’s right for you.
Look for a course with a placement guarantee. This is a great way to ensure that you’ll be able to find a job after completing the course. However, it’s important to read the fine print carefully and make sure that the guarantee is legitimate.
Ask about the course’s alumni network. This can be a great resource for finding a job after completing the course. The alumni network can provide you with contacts and advice, and they can also help you get your foot in the door at potential employers.
Get involved in the data science community. There are many online and offline communities where you can connect with other data scientists. This is a great way to learn from others, get advice, and stay up-to-date on the latest trends in the field.

Data Scientist Jobs

Data scientists are in high demand, and there are many job opportunities available. Here are some of the most common data scientist job titles:

Data Scientist: This is the most common data scientist job title. Data scientists use their skills to collect, clean, and analyze data. They also build machine learning models and apply artificial intelligence to real-world problems.
Machine Learning Engineer: Machine learning engineers are responsible for developing and maintaining machine learning models. They work with data scientists to gather data, build models, and deploy them into production.
Big Data Engineer: Big data engineers are responsible for storing, processing, and analyzing large datasets. They work with data scientists to ensure that data is available and accessible for analysis.
Data Analyst: Data analysts use their skills to gather, clean, and analyze data. They also create reports and visualizations to communicate their findings.
Business Intelligence Analyst: Business intelligence analysts use data to help businesses make better decisions. They work with stakeholders to gather requirements, build reports, and create dashboards.

Data Scientist Salary

The salary of a data scientist in India varies depending on their experience, skills, and location. According to AmbitionBox, the average salary for a data scientist in India is ₹10 lakhs per year. However, salaries can range from ₹3.6 lakhs to ₹25.4 lakhs per year.

Here is a breakdown of the average salary for data scientists in India by experience:

Entry-level: ₹500,000 per year
1-4 years of experience: ₹610,811 per year
5-9 years of experience: ₹1,004,082 per year
10+ years of experience: ₹1,700,000 per year

The salary of a data scientist can also vary depending on their location. In general, data scientists in large cities, such as Mumbai and Bangalore, tend to earn higher salaries than those in smaller cities.

Data Science Course Citywise

City	Best Institute Name
Data Science course in Pune	Great Learning
Data Science course in Chennai	Imarticus Learning
Data Science course in Delhi	ExcelR
Data Science course in Hyderabad	ExcelR
Data Science course in Noida	TCA
Data Science course in Mumbai	NMIMS

Is Data Science Course Worth It?

Whether or not a data science course is worth it depends on your individual circumstances and goals. Here are some factors to consider:

Your current skills and experience: If you have no prior experience with data science, a course can be a great way to learn the basics and get started in the field. However, if you already have some experience with data science, you may not need to take a full course.
Your career goals: If you are interested in a career in data science, a course can help you develop the skills and knowledge you need to be successful. However, if you are not sure if data science is the right career for you, a course can help you explore the field and make a decision.
The cost of the course: Data science courses can range in price from a few thousand rupees to lakhs of rupees. It is important to factor in the cost of the course when making your decision.
The quality of the course: Not all data science courses are created equal. It is important to choose a course that is well-designed and taught by experienced instructors.
Overall, whether or not a data science course is worth it is a personal decision. However, if you are considering a career in data science, a course can be a great way to get started.
Also Read: Data Science Course in Delhi

Frequently Asked Question

Is data science as good as CSE?

The best field for you will depend on your individual interests and career goals. If you are interested in working with data and solving problems, data science may be a good fit for you. If you are interested in working with computers and building software, CSE may be a good fit for you.

Can a PCB student do data science?

Yes, a student with a background in PCB (Physics, Chemistry, and Biology) can pursue a career in data science. While data science is often associated with computer science or mathematics backgrounds, it is a multidisciplinary field that welcomes students from various educational backgrounds, including PCB.

Is data science a coding?

Data science encompasses various skills and tasks, including coding, but it is not limited to coding alone. Coding is an essential aspect of data science as it enables data scientists to manipulate, analyze, and extract insights from data effectively. Data scientists typically use programming languages like Python or R to work with datasets, clean and preprocess data, build statistical models, and develop machine learning algorithms.

Who is eligible for data scientist?

A bachelor's degree in a relevant field such as computer science, mathematics, statistics, physics, engineering, economics, or a related quantitative discipline is often required. Some positions may prefer or require a master's degree or higher.

Which branch is best for data scientist?

There is no one "best" branch for a data scientist, as the field requires a diverse set of skills and knowledge. However, some branches that are particularly well-suited for data science include:

Computer science: Computer science provides the foundation in mathematics, statistics, and programming that is essential for data science.
Statistics: Statistics provides the skills in data analysis and interpretation that are essential for data science.
Mathematics: Mathematics provides the foundation in logic and problem-solving that is essential for data science.
Engineering: Engineering provides the skills in problem-solving and systems thinking that are essential for data science.
Business: Business provides the understanding of the real world that is essential for data science.

Does data science have scope?

Yes, data science has a lot of scope. In fact, it is one of the most in-demand fields in the world today. With the increasing amount of data being generated every day, there is a growing need for professionals who can analyze and interpret this data. Data scientists are able to use their skills to solve real-world problems in a variety of industries, including healthcare, finance, retail, and manufacturing.