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- Free Courses
- Data Science free courses
Global edtech, led by top experts
Free Data Science Courses
These free Data Science courses can be a great way to learn skills or launch a career in data science. They will equip you to interpret and analyse data and communicate actionable data derivations. Enrol for free and get a certificate upon completion.
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Great Learning Academy
Predict Footballer Transfer Market Value using Data Science
Skills: Python,EDA

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Predict Footballer Transfer Market Value using Data Science
What you’ll learn:
- Machine Learning Introduction
- Case study - Problem Overview and its Approach for Market Value
- Case Study - EDA for Market Value
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Great Learning Academy
Predicting FIFA winner using Data Analytics
Skills: Python,Tableau,EDA

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Predicting FIFA winner using Data Analytics
What you’ll learn:
- Data Analytics Essential
- Case study - Problem Overview and its Approach
- Case study - EDA
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Great Learning Academy
Applications of Data Science & Machine Learning
Skills: Statistical analysis, Deep Learning, how to work and process large and unstructured data sets, and Data Visualization and among others.

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Applications of Data Science & Machine Learning
What you’ll learn:
- Introduction to Data Science and Machine Learning
- Predictions
- From Data to Decisions
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Great Learning Academy
Python for Machine Learning and Data Science
Skills: Introduction to NumPy, Pandas and Data Visualization in Python

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Python for Machine Learning and Data Science
What you’ll learn:
- Introduction to NumPy in Python
- Slicing Array
- Operations on a Array - Part 1
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Great Learning Academy
Data Science Foundations
Skills: Data Science, Analytics Landscape, Data Science Life Cycle fundamentals

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Data Science Foundations
What you’ll learn:
- Introduction to Data Science
- Data Science Life Cycle
- Data Mining Tasks
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Great Learning Academy
Data Visualization With Power BI
Skills: Data Visualization, Power BI, Components of Power BI,Visual Analytics

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Data Visualization With Power BI
What you’ll learn:
- What is BI?
- What is Data Visualization
- Data VIsualization Tools
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Great Learning Academy

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SQL for Data Science
What you’ll learn:
- Course Overview
- Intro to Clauses
- Group By Statement
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Great Learning Academy
Python for Data Science
Skills: Components of Data Science, Data Science Architecture, Skills needed to learn Python, NumPy and Pandas libraries

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Python for Data Science
What you’ll learn:
- Why Data Science?
- Data Science Architecture
- Components in Data Science
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Great Learning Academy
Applying Analytics to Business Problems
Skills: Analytics in Business Problems, Case Study on Play store Ad Revenue

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Applying Analytics to Business Problems
What you’ll learn:
- Analytics Introduction
- How Business Problems are solved?
- Business Case Study on Playstore Ad Revenue
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Great Learning Academy
Data Analytics using Excel
Skills: Data Cleaning, Functions in Excel,Conditional formatting in Excel, Data Validation, Pivot tables, Data Visualisation

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Data Analytics using Excel
What you’ll learn:
- Data Cleaning
- Introduction to Data Analytics
- Phases of Data Analytics Project
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Great Learning Academy
Apriori Algorithm
Skills: Conjoint Analysis,Market Basket Analysis,Apriori Algorithm

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Apriori Algorithm
What you’ll learn:
- Introduction to Conjoint Analysis
- Math Behind Conjoint Analysis
- Introduction to Market Basket Analysis
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Great Learning Academy
LDA in Entertainment Industry
Skills: Application of LDA, Building Pipelines, Data Balancing, Data Validation

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LDA in Entertainment Industry
What you’ll learn:
- Agenda Of The Course
- Setting Up The Context
- Linear Discriminant Analysis - Introduction
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Popular


Great Learning Academy
Data Science Foundations
Skills: Data Science, Analytics Landscape, Data Science Life Cycle fundamentals

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Data Science Foundations
What you’ll learn:
- Introduction to Data Science
- Data Science Life Cycle
- Data Mining Tasks
View Course


Great Learning Academy
Data Visualization With Power BI
Skills: Data Visualization, Power BI, Components of Power BI,Visual Analytics

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Data Visualization With Power BI
What you’ll learn:
- What is BI?
- What is Data Visualization
- Data VIsualization Tools
View Course


Great Learning Academy

View Course
SQL for Data Science
What you’ll learn:
- Course Overview
- Intro to Clauses
- Group By Statement
View Course


Great Learning Academy
Python for Data Science
Skills: Components of Data Science, Data Science Architecture, Skills needed to learn Python, NumPy and Pandas libraries

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Python for Data Science
What you’ll learn:
- Why Data Science?
- Data Science Architecture
- Components in Data Science
View Course
New


Great Learning Academy
Predict Footballer Transfer Market Value using Data Science
Skills: Python,EDA

View Course
Predict Footballer Transfer Market Value using Data Science
What you’ll learn:
- Machine Learning Introduction
- Case study - Problem Overview and its Approach for Market Value
- Case Study - EDA for Market Value
View Course


Great Learning Academy
Predicting FIFA winner using Data Analytics
Skills: Python,Tableau,EDA

View Course
Predicting FIFA winner using Data Analytics
What you’ll learn:
- Data Analytics Essential
- Case study - Problem Overview and its Approach
- Case study - EDA
View Course


Great Learning Academy
Applications of Data Science & Machine Learning
Skills: Statistical analysis, Deep Learning, how to work and process large and unstructured data sets, and Data Visualization and among others.

View Course
Applications of Data Science & Machine Learning
What you’ll learn:
- Introduction to Data Science and Machine Learning
- Predictions
- From Data to Decisions
View Course


Great Learning Academy
Python for Machine Learning and Data Science
Skills: Introduction to NumPy, Pandas and Data Visualization in Python

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Python for Machine Learning and Data Science
What you’ll learn:
- Introduction to NumPy in Python
- Slicing Array
- Operations on a Array - Part 1
View Course
Trending


Great Learning Academy
Applying Analytics to Business Problems
Skills: Analytics in Business Problems, Case Study on Play store Ad Revenue

View Course
Applying Analytics to Business Problems
What you’ll learn:
- Analytics Introduction
- How Business Problems are solved?
- Business Case Study on Playstore Ad Revenue
View Course


Great Learning Academy
Data Analytics using Excel
Skills: Data Cleaning, Functions in Excel,Conditional formatting in Excel, Data Validation, Pivot tables, Data Visualisation

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Data Analytics using Excel
What you’ll learn:
- Data Cleaning
- Introduction to Data Analytics
- Phases of Data Analytics Project
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Great Learning Academy
Apriori Algorithm
Skills: Conjoint Analysis,Market Basket Analysis,Apriori Algorithm

View Course
Apriori Algorithm
What you’ll learn:
- Introduction to Conjoint Analysis
- Math Behind Conjoint Analysis
- Introduction to Market Basket Analysis
View Course


Great Learning Academy
LDA in Entertainment Industry
Skills: Application of LDA, Building Pipelines, Data Balancing, Data Validation

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LDA in Entertainment Industry
What you’ll learn:
- Agenda Of The Course
- Setting Up The Context
- Linear Discriminant Analysis - Introduction
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All Data Science Courses
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Great Learning Academy
Master Data Science & Machine Learning in Python
Skills: Numpy, Pandas, Seaborn, Scikit Learn, Linear Regression, Logistic Regression, Decision Trees, Ensemble techniques, K-means clustering, Feature engineering, Model tuning

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Master Data Science & Machine Learning in Python
What you’ll learn:
- Key Python Libraries - Numpy
- Key Python Libraries - Pandas
- Python Visualization using Seaborn & Matplotlib
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Great Learning Academy
Hands-On Data Science Using Python
Skills: Python - NumPy, Pandas, Probability and Distributions, Descriptive Statistics, Exploratory Data Analysis (EDA), Supervised Learning - Linear Regression, Supervised Learning - Logistic Regression, Decision Trees, Ensemble Techniques, Unsupervised Learning

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Hands-On Data Science Using Python
What you’ll learn:
- Introduction to NumPy
- Introduction to Pandas
- Introduction to Probability and Distributions
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Northwestern University
MS in Data Science Programme

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MS in Data Science Programme
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Free Data Science Courses


Great Learning Academy
Introduction to Data Science
Skills: Introduction to Data Science, Life Cycle of Data, A/B Testing, Time Series, SQL and NoSQL, Big Data

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Introduction to Data Science
What you’ll learn:
- What and Why Data Science?
- Life Cycle of Data
- Basic idea of Distribution
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Great Learning Academy
Data Science Foundations
Skills: Data Science, Analytics Landscape, Data Science Life Cycle fundamentals

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Data Science Foundations
What you’ll learn:
- Introduction to Data Science
- Data Science Life Cycle
- Data Mining Tasks
View Course


Great Learning Academy
Python for Data Science
Skills: Components of Data Science, Data Science Architecture, Skills needed to learn Python, NumPy and Pandas libraries

View Course
Python for Data Science
What you’ll learn:
- Why Data Science?
- Data Science Architecture
- Components in Data Science
View Course


Great Learning Academy
R for Data Science
Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

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R for Data Science
What you’ll learn:
- Installing R
- Basics of R
- Data Structures in R
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Great Learning Academy
Excel for Data Science for Beginners
Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

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Excel for Data Science for Beginners
What you’ll learn:
- Excel Introduction
- Excel Navigation
- Rows, Columns and Cells in Excel
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Great Learning Academy
Data Preprocessing
Skills: Data Preparation,Feature Engineering,Variable Scaling,Variable Transformation,Binning the Data,Lambda Function,Correlation Checks for Bivariate Data,Outlier Treatment,Outlier Identification,Data Manipulation,Encoding Categorical Variables

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Data Preprocessing
What you’ll learn:
- Introduction to Data Collection
- Definition and Types of Data
- Overview and Importance of Data Collection
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Great Learning Academy

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SQL for Data Science
What you’ll learn:
- Course Overview
- Intro to Clauses
- Group By Statement
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Great Learning Academy
Data Science Mathematics
Skills: Mathematics for Data Science, Case studies

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Data Science Mathematics
What you’ll learn:
- What is Data Science?
- Deep Learning
- Introduction to Essential Mathematics for Data Science
View Course


Great Learning Academy
Data Visualization With Power BI
Skills: Data Visualization, Power BI, Components of Power BI,Visual Analytics

View Course
Data Visualization With Power BI
What you’ll learn:
- What is BI?
- What is Data Visualization
- Data VIsualization Tools
View Course


Great Learning Academy
Skills: Introduction to Data Science, Life Cycle of Data, A/B Testing, Time Series, SQL and NoSQL, Big Data

View Course


Great Learning Academy
Skills: Data Science, Analytics Landscape, Data Science Life Cycle fundamentals

View Course


Great Learning Academy
Skills: Components of Data Science, Data Science Architecture, Skills needed to learn Python, NumPy and Pandas libraries

View Course


Great Learning Academy
Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

View Course


Great Learning Academy
Skills: Date and Time,Aggregation,Lookups,Pivot Tables,Errors in Excel

View Course


Great Learning Academy
Skills: Data Preparation,Feature Engineering,Variable Scaling,Variable Transformation,Binning the Data,Lambda Function,Correlation Checks for Bivariate Data,Outlier Treatment,Outlier Identification,Data Manipulation,Encoding Categorical Variables

View Course


Great Learning Academy
Skills: Data Analysis, SQL, SQL with Python

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Great Learning Academy
Skills: Mathematics for Data Science, Case studies

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Great Learning Academy
Skills: Data Visualization, Power BI, Components of Power BI,Visual Analytics

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Learn Data Science For Free & Get Completion Certificates
Data Science is a subdomain of computer science and technology that utilizes scientific techniques, processes, algorithms, and systems to extract derived information and insights from structured and unstructured data. It is an interdisciplinary field that combines computer science, mathematics, statistics, and other related fields to analyze, predict, and visualize data. Data science has integrated modern businesses and has been used to improve decision-making, identify new opportunities, and solve complex problems.
Data science is used in various industries, including finance, healthcare, education, and marketing. It is used to identify patterns and relationships in data, uncover hidden insights, and make accurate predictions. For example, data science can be applied to analyze customer purchasing patterns, identify potential customer segments, and develop targeted marketing campaigns. It can also detect fraud, optimize pricing, and predict future trends.
Data science is also used to power Artificial Intelligence and Machine Learning. Machine Learning algorithms use data science to learn from data and make predictions. Data science is used to train and test machine learning models, identify correlations, and draw conclusions from complex data sets.
Data science can also create predictive models and simulations. Data scientists can identify patterns and relationships, build models, and simulate future outcomes and scenarios by analyzing data. This can be used to make more informed decisions and create better strategies.
Data science has become an increasingly important part of the modern world, and its applications are proliferating. It can revolutionize how we do business, make decisions, and interact with data. With the right strategies and techniques, data science can improve the efficiency and accuracy of data-driven decisions and enable businesses to gain deeper insights into their customers, operations, and markets.
Data Science Tasks
Data Science tasks involve the analysis of large and complex datasets to discover hidden patterns, correlations, and insights. Data Science tasks involve a combination of techniques and processes, including data mining, machine learning, predictive analytics, and visualization. Data Science tasks aim to use data to gain knowledge and insights that improve a business or other organization's operations.
Data Science gathers and cleans data from multiple sources. This process includes collecting data from various sources, such as databases, websites, surveys, and other sources. After the data is collected, it must be cleaned and analyzed to identify patterns, correlations, and insights. The data must also be organized and structured to make it easier to work with.
Data Science tasks also include
- Creating predictive models. Predictive models use data to forecast future outcomes. These models are used to make investments, business strategies, and product development decisions.
- Using visualization tools to represent data in an easy-to-understand format. Popular visualization tools include charts, tables, and graphs. Visualization tools help organizations make better decisions by providing clear insights into the data.
- Communicating the results of the data analysis. This includes creating reports and presentations that explain the findings to stakeholders and other decision-makers.
Data Science tasks are an essential part of any organization's operations. Data Science professionals use their technical skills and knowledge to help organizations gain valuable insights from their data. By understanding and interpreting data, organizations can make better decisions and create strategies to help them achieve their goals.
Great Learning Academy offers a variety of free Data Science courses online that can help you gain the expertise and knowledge you need to pursue a career in the field. These courses typically focus on helping you gain a better understanding of the fundamentals of Data Science, such as programming languages, algorithms, and data manipulation. No matter which type of free Data Science course you choose, you can be sure that you'll be well-equipped with the knowledge and skills necessary to pursue a successful career in the field. With various free Data Science courses, you can learn about various concepts under the subject online for free.
Register for the Data Science certificate course if you want to get professionally certified.
Meet your faculty
Meet industry experts who will teach you relevant skills in artificial intelligence

Dr. Abhinanda Sarkar
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30+ years of experience in data science, ML, and analytics.
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Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

Dr. Bappaditya Mukhopadyay


Mr. Bharani Akella

Denver Dias
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Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
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Expert in A/B testing, ML models, and predictive analytics

Dr. D Narayana
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18+ years in AI, ML, and financial engineering solutions
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PhD in Mathematics from Pierre and Marie Curie University, France


Mr. Vishal Padghan

Mr. Bharani Akella

Dr. Abhinanda Sarkar
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30+ years of experience in data science, ML, and analytics.
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Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.

Mr. Rounak Dholakia

Dr. P K Viswanathan


Mr. Gaelim Holland

Prof. Raghavshyam Ramamurthy


Mr. Viplove Raj Sharma

Vivekanand R


Dr. R.L. Shankar

Dr. Bradford Tuckfield
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10+ years of expertise in statistics, programming, and machine learning.
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PhD. from the Wharton School, University of Pennsylvania
Frequently Asked Questions
What are the prerequisites required to learn these free Data Science courses?
There's no prior experience necessary to begin, but before you learn advanced courses, complete basic courses to have strong computer skills and develop an interest in gathering, interpreting, and presenting data.
How long does it take to complete these Data Science free courses?
These courses include 1-8 hours of video lectures. These courses are, however, self-paced, and you can complete them at your convenience.
What knowledge and skills will I gain upon completing these free Data Science courses?
Upon completing these free Data Science courses, you will gain a wide range of knowledge and skills, including an understanding of the fundamentals of data science, algorithms and machine learning, data analysis and visualization, programming languages such as Python and R, and the tools and applications used in data science. Additionally, you will gain experience with data wrangling, predictive modeling, and data-driven decision-making.
Will I obtain a formal certification after finishing these Data Science courses?
Will I have lifetime access to these free Data Science courses with certificates?
Yes. You will have lifetime access to these courses after enrolling in them and access to certificates after completing the course.
Will I get a certificate after completing these free Data Science courses?
Yes. After completing them successfully, you will receive a certificate of completion for each course.
How much do these Data Science courses cost?
These are free courses; you can enroll in them and learn for free online.
Is it worth learning about Data Science?
Data scientists are in great demand right now, and it's an excellent choice to start a career in data science. Unfortunately, the majority of those who attempt to learn data science fail because their approach needs to be revised with errors that impede their advancement. You can therefore choose to learn from the Data Science course for beginners to escalate your learning in Data Science and programming from basics.
Why is Data Science so popular?
Data science is a large field of study that is expanding, which means there will be plenty of chances in the future. The discipline of data science is anticipated to become increasingly specialized as employment functions get more specialized. Because it has been revealing outstanding solutions and wise decisions across numerous industries, data science is crucial for organizations.
What jobs demand you learn Data Science?
Jobs that are directly related to Data Science are
- Business Intelligence Analyst
- Data Mining Engineer
- Data Architect
- Data Scientist
Why take Data Science courses from Great Learning Academy?
Great Learning Academy offers a wide range of high-quality, completely free Data Science courses. From beginner to advanced level, these free courses are designed to help you improve your Data Science and programming skills and achieve your goals. All these courses come with a certificate of completion, so you can demonstrate your new skills to the world. Start learning today and discover the benefits of free Data Science courses!
Who are eligible to take these free Data Science courses?
These courses have no prerequisites. Anybody can learn from these courses for free online.
What are my next learning options after these Free Data Science courses?
These free Data Science courses give you a competitive edge in your professional life. Register for the Applied Data Science course to further gain professional knowledge after completing these free courses.
What are the steps to enroll in these free Data Science courses?
To learn Data Science basics and advance concepts from these courses, you need to,
- Go to the course page
- Click on the "Enroll for Free" button
- Start learning the Data Science course for free online.
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