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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.

13.5L+ Learners
74 Courses
4.5 average rating
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Key Highlights

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Earn an industry-recognized certificate
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Start anytime, learn on your schedule
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Taught by industry experts and top faculty

Top tools to master

SQL icon R programming icon Pandas library icon NumPy library icon Python icon

Begin your learning journey

Key Highlights

certificate icon
Earn an industry-recognized certificate
flexible schedule icon
Start anytime, learn on your schedule
expert instructors icon
Taught by industry experts and top faculty

Empowering millions through professional learning

Empowering millions through professional learning

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Get started with these courses

Predict Footballer Transfer Market Value using Data Science

Great Learning Academy

Predict Footballer Transfer Market Value using Data Science

star 4.63 · 757 learners · 0.5 hours

Skills: Python,EDA

Free icon Free

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Predict Footballer Transfer Market Value using Data Science

star 4.63 · 757 learners · 0.5 hours

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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Predicting FIFA winner using Data Analytics

Great Learning Academy

Predicting FIFA winner using Data Analytics

star 4.38 · 938 learners · 1.0 hours

Skills: Python,Tableau,EDA

Free icon Free

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Predicting FIFA winner using Data Analytics

star 4.38 · 938 learners · 1.0 hours

What you’ll learn:

  • Data Analytics Essential
  • Case study - Problem Overview and its Approach
  • Case study - EDA

View Course

Applications of Data Science & Machine Learning

Great Learning Academy

Applications of Data Science & Machine Learning

star 4.65 · 1.1K+ learners · 1.0 hours

Skills: Statistical analysis, Deep Learning, how to work and process large and unstructured data sets, and Data Visualization and among others.

Free icon Free

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Applications of Data Science & Machine Learning

star 4.65 · 1.1K+ learners · 1.0 hours

What you’ll learn:

  • Introduction to Data Science and Machine Learning
  • Predictions
  • From Data to Decisions

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Python for Machine Learning and Data Science

Great Learning Academy

Python for Machine Learning and Data Science

star 4.65 · 9.7K+ learners · 3.0 hours

Skills: Introduction to NumPy, Pandas and Data Visualization in Python

Free icon Free

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Python for Machine Learning and Data Science

star 4.65 · 9.7K+ learners · 3.0 hours

What you’ll learn:

  • Introduction to NumPy in Python
  • Slicing Array
  • Operations on a Array - Part 1

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Data Science Foundations

Great Learning Academy

Data Science Foundations

star 4.45 · 6.4L+ learners · 2.0 hours

Skills: Data Science, Analytics Landscape, Data Science Life Cycle fundamentals

Free icon Free

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Data Science Foundations

star 4.45 · 6.4L+ learners · 2.0 hours

What you’ll learn:

  • Introduction to Data Science
  • Data Science Life Cycle
  • Data Mining Tasks

View Course

Data Visualization With Power BI

Great Learning Academy

Data Visualization With Power BI

star 4.52 · 3.1L+ learners · 1.5 hours

Skills: Data Visualization, Power BI, Components of Power BI,Visual Analytics

Free icon Free

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Data Visualization With Power BI

star 4.52 · 3.1L+ learners · 1.5 hours

What you’ll learn:

  • What is BI?
  • What is Data Visualization
  • Data VIsualization Tools

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SQL for Data Science

Great Learning Academy

SQL for Data Science

star 4.51 · 1.6L+ learners · 3.0 hours

Skills: Data Analysis, SQL, SQL with Python

Free icon Free

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SQL for Data Science

star 4.51 · 1.6L+ learners · 3.0 hours

What you’ll learn:

  • Course Overview
  • Intro to Clauses
  • Group By Statement

View Course

Python for Data Science

Great Learning Academy

Python for Data Science

star 4.43 · 1.1L+ learners · 2.0 hours

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

Free icon Free

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Python for Data Science

star 4.43 · 1.1L+ learners · 2.0 hours

What you’ll learn:

  • Why Data Science?
  • Data Science Architecture
  • Components in Data Science

View Course

Applying Analytics to Business Problems

Great Learning Academy

Applying Analytics to Business Problems

star 4.72 · 2.6K+ learners · 2.0 hours

Skills: Analytics in Business Problems, Case Study on Play store Ad Revenue

Free icon Free

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Applying Analytics to Business Problems

star 4.72 · 2.6K+ learners · 2.0 hours

What you’ll learn:

  • Analytics Introduction
  • How Business Problems are solved?
  • Business Case Study on Playstore Ad Revenue

View Course

Data Analytics using Excel

Great Learning Academy

Data Analytics using Excel

star 4.67 · 48.1K+ learners · 1.5 hours

Skills: Data Cleaning, Functions in Excel,Conditional formatting in Excel, Data Validation, Pivot tables, Data Visualisation

Free icon Free

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Data Analytics using Excel

star 4.67 · 48.1K+ learners · 1.5 hours

What you’ll learn:

  • Data Cleaning
  • Introduction to Data Analytics
  • Phases of Data Analytics Project

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Apriori Algorithm

Great Learning Academy

Apriori Algorithm

star 4.66 · 1.5K+ learners · 2.0 hours

Skills: Conjoint Analysis,Market Basket Analysis,Apriori Algorithm

Free icon Free

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Apriori Algorithm

star 4.66 · 1.5K+ learners · 2.0 hours

What you’ll learn:

  • Introduction to Conjoint Analysis
  • Math Behind Conjoint Analysis
  • Introduction to Market Basket Analysis

View Course

LDA in Entertainment Industry

Great Learning Academy

LDA in Entertainment Industry

star 4.64 · 1K+ learners · 1.0 hours

Skills: Application of LDA, Building Pipelines, Data Balancing, Data Validation

Free icon Free

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LDA in Entertainment Industry

star 4.64 · 1K+ learners · 1.0 hours

What you’ll learn:

  • Agenda Of The Course
  • Setting Up The Context
  • Linear Discriminant Analysis - Introduction

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Popular

  • Data Science Foundations

    Great Learning Academy

    Data Science Foundations

    star 4.45 · 6.4L+ learners · 2.0 hours

    Skills: Data Science, Analytics Landscape, Data Science Life Cycle fundamentals

    Free icon Free

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    Data Science Foundations

    star 4.45 · 6.4L+ learners · 2.0 hours

    What you’ll learn:

    • Introduction to Data Science
    • Data Science Life Cycle
    • Data Mining Tasks

    View Course

  • Data Visualization With Power BI

    Great Learning Academy

    Data Visualization With Power BI

    star 4.52 · 3.1L+ learners · 1.5 hours

    Skills: Data Visualization, Power BI, Components of Power BI,Visual Analytics

    Free icon Free

    View Course

    Data Visualization With Power BI

    star 4.52 · 3.1L+ learners · 1.5 hours

    What you’ll learn:

    • What is BI?
    • What is Data Visualization
    • Data VIsualization Tools

    View Course

  • SQL for Data Science

    Great Learning Academy

    SQL for Data Science

    star 4.51 · 1.6L+ learners · 3.0 hours

    Skills: Data Analysis, SQL, SQL with Python

    Free icon Free

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    SQL for Data Science

    star 4.51 · 1.6L+ learners · 3.0 hours

    What you’ll learn:

    • Course Overview
    • Intro to Clauses
    • Group By Statement

    View Course

  • Python for Data Science

    Great Learning Academy

    Python for Data Science

    star 4.43 · 1.1L+ learners · 2.0 hours

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

    Free icon Free

    View Course

    Python for Data Science

    star 4.43 · 1.1L+ learners · 2.0 hours

    What you’ll learn:

    • Why Data Science?
    • Data Science Architecture
    • Components in Data Science

    View Course

  • New

  • Predict Footballer Transfer Market Value using Data Science

    Great Learning Academy

    Predict Footballer Transfer Market Value using Data Science

    star 4.63 · 757 learners · 0.5 hours

    Skills: Python,EDA

    Free icon Free

    View Course

    Predict Footballer Transfer Market Value using Data Science

    star 4.63 · 757 learners · 0.5 hours

    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

  • Predicting FIFA winner using Data Analytics

    Great Learning Academy

    Predicting FIFA winner using Data Analytics

    star 4.38 · 938 learners · 1.0 hours

    Skills: Python,Tableau,EDA

    Free icon Free

    View Course

    Predicting FIFA winner using Data Analytics

    star 4.38 · 938 learners · 1.0 hours

    What you’ll learn:

    • Data Analytics Essential
    • Case study - Problem Overview and its Approach
    • Case study - EDA

    View Course

  • Applications of Data Science & Machine Learning

    Great Learning Academy

    Applications of Data Science & Machine Learning

    star 4.65 · 1.1K+ learners · 1.0 hours

    Skills: Statistical analysis, Deep Learning, how to work and process large and unstructured data sets, and Data Visualization and among others.

    Free icon Free

    View Course

    Applications of Data Science & Machine Learning

    star 4.65 · 1.1K+ learners · 1.0 hours

    What you’ll learn:

    • Introduction to Data Science and Machine Learning
    • Predictions
    • From Data to Decisions

    View Course

  • Python for Machine Learning and Data Science

    Great Learning Academy

    Python for Machine Learning and Data Science

    star 4.65 · 9.7K+ learners · 3.0 hours

    Skills: Introduction to NumPy, Pandas and Data Visualization in Python

    Free icon Free

    View Course

    Python for Machine Learning and Data Science

    star 4.65 · 9.7K+ learners · 3.0 hours

    What you’ll learn:

    • Introduction to NumPy in Python
    • Slicing Array
    • Operations on a Array - Part 1

    View Course

  • Trending

  • Applying Analytics to Business Problems

    Great Learning Academy

    Applying Analytics to Business Problems

    star 4.72 · 2.6K+ learners · 2.0 hours

    Skills: Analytics in Business Problems, Case Study on Play store Ad Revenue

    Free icon Free

    View Course

    Applying Analytics to Business Problems

    star 4.72 · 2.6K+ learners · 2.0 hours

    What you’ll learn:

    • Analytics Introduction
    • How Business Problems are solved?
    • Business Case Study on Playstore Ad Revenue

    View Course

  • Data Analytics using Excel

    Great Learning Academy

    Data Analytics using Excel

    star 4.67 · 48.1K+ learners · 1.5 hours

    Skills: Data Cleaning, Functions in Excel,Conditional formatting in Excel, Data Validation, Pivot tables, Data Visualisation

    Free icon Free

    View Course

    Data Analytics using Excel

    star 4.67 · 48.1K+ learners · 1.5 hours

    What you’ll learn:

    • Data Cleaning
    • Introduction to Data Analytics
    • Phases of Data Analytics Project

    View Course

  • Apriori Algorithm

    Great Learning Academy

    Apriori Algorithm

    star 4.66 · 1.5K+ learners · 2.0 hours

    Skills: Conjoint Analysis,Market Basket Analysis,Apriori Algorithm

    Free icon Free

    View Course

    Apriori Algorithm

    star 4.66 · 1.5K+ learners · 2.0 hours

    What you’ll learn:

    • Introduction to Conjoint Analysis
    • Math Behind Conjoint Analysis
    • Introduction to Market Basket Analysis

    View Course

  • LDA in Entertainment Industry

    Great Learning Academy

    LDA in Entertainment Industry

    star 4.64 · 1K+ learners · 1.0 hours

    Skills: Application of LDA, Building Pipelines, Data Balancing, Data Validation

    Free icon Free

    View Course

    LDA in Entertainment Industry

    star 4.64 · 1K+ learners · 1.0 hours

    What you’ll learn:

    • Agenda Of The Course
    • Setting Up The Context
    • Linear Discriminant Analysis - Introduction

    View Course

  • All Data Science Courses

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    PRO & UNIVERSITY PROGRAMS

    Boost your career by mastering in-demand skills through expert guidance, AI-powered learning, and hands-on projects.

  • Master Data Science & Machine Learning in Python

    Great Learning Academy

    Master Data Science & Machine Learning in Python

    136 coding exercises · 6 projects · 17.0 hours

    Skills: Numpy, Pandas, Seaborn, Scikit Learn, Linear Regression, Logistic Regression, Decision Trees, Ensemble techniques, K-means clustering, Feature engineering, Model tuning

    Pro icon Pro

    View Course

    Master Data Science & Machine Learning in Python

    136 coding exercises · 6 projects · 17.0 hours

    What you’ll learn:

    • Key Python Libraries - Numpy
    • Key Python Libraries - Pandas
    • Python Visualization using Seaborn & Matplotlib

    View Course

  • Hands-On Data Science Using Python

    Great Learning Academy

    Hands-On Data Science Using Python

    1 coding exercises · 1 projects · 12.5 hours

    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

    Pro icon Pro

    View Course

    Hands-On Data Science Using Python

    1 coding exercises · 1 projects · 12.5 hours

    What you’ll learn:

    • Introduction to NumPy
    • Introduction to Pandas
    • Introduction to Probability and Distributions

    View Course

  • MS in Data Science Programme

    Northwestern University

    MS in Data Science Programme

    18 months · Online · Live Sessions
    University icon University

    View Program

    MS in Data Science Programme

    18 months · Online · Live Sessions

    View Program

  • Free Data Science Courses

    Introduction to Data Science

    Great Learning Academy

    Introduction to Data Science

    star 4.5 · 64.5K+ learners · 1.0 hours

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

    Free icon Free

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    Introduction to Data Science

    star 4.5 · 64.5K+ learners · 1.0 hours

    What you’ll learn:

    • What and Why Data Science?
    • Life Cycle of Data
    • Basic idea of Distribution

    View Course

    Data Science Foundations

    Great Learning Academy

    Data Science Foundations

    star 4.45 · 6.4L+ learners · 2.0 hours

    Skills: Data Science, Analytics Landscape, Data Science Life Cycle fundamentals

    Free icon Free

    View Course

    Data Science Foundations

    star 4.45 · 6.4L+ learners · 2.0 hours

    What you’ll learn:

    • Introduction to Data Science
    • Data Science Life Cycle
    • Data Mining Tasks

    View Course

    Python for Data Science

    Great Learning Academy

    Python for Data Science

    star 4.43 · 1.1L+ learners · 2.0 hours

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

    Free icon Free

    View Course

    Python for Data Science

    star 4.43 · 1.1L+ learners · 2.0 hours

    What you’ll learn:

    • Why Data Science?
    • Data Science Architecture
    • Components in Data Science

    View Course

    R for Data Science

    Great Learning Academy

    R for Data Science

    star 4.54 · 13.7K+ learners · 2.0 hours

    Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

    Free icon Free

    View Course

    R for Data Science

    star 4.54 · 13.7K+ learners · 2.0 hours

    What you’ll learn:

    • Installing R
    • Basics of R
    • Data Structures in R

    View Course

    Excel for Data Science for Beginners

    Great Learning Academy

    Excel for Data Science for Beginners

    star 4.49 · 18.8K+ learners · 1.5 hours

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

    Free icon Free

    View Course

    Excel for Data Science for Beginners

    star 4.49 · 18.8K+ learners · 1.5 hours

    What you’ll learn:

    • Excel Introduction
    • Excel Navigation
    • Rows, Columns and Cells in Excel

    View Course

    Data Preprocessing

    Great Learning Academy

    Data Preprocessing

    star 4.54 · 9.5K+ learners · 2.0 hours

    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

    Free icon Free

    View Course

    Data Preprocessing

    star 4.54 · 9.5K+ learners · 2.0 hours

    What you’ll learn:

    • Introduction to Data Collection
    • Definition and Types of Data
    • Overview and Importance of Data Collection

    View Course

    SQL for Data Science

    Great Learning Academy

    SQL for Data Science

    star 4.51 · 1.6L+ learners · 3.0 hours

    Skills: Data Analysis, SQL, SQL with Python

    Free icon Free

    View Course

    SQL for Data Science

    star 4.51 · 1.6L+ learners · 3.0 hours

    What you’ll learn:

    • Course Overview
    • Intro to Clauses
    • Group By Statement

    View Course

    Data Science Mathematics

    Great Learning Academy

    Data Science Mathematics

    star 4.34 · 14.6K+ learners · 1.0 hours

    Skills: Mathematics for Data Science, Case studies

    Free icon Free

    View Course

    Data Science Mathematics

    star 4.34 · 14.6K+ learners · 1.0 hours

    What you’ll learn:

    • What is Data Science?
    • Deep Learning
    • Introduction to Essential Mathematics for Data Science

    View Course

    Data Visualization With Power BI

    Great Learning Academy

    Data Visualization With Power BI

    star 4.52 · 3.1L+ learners · 1.5 hours

    Skills: Data Visualization, Power BI, Components of Power BI,Visual Analytics

    Free icon Free

    View Course

    Data Visualization With Power BI

    star 4.52 · 3.1L+ learners · 1.5 hours

    What you’ll learn:

    • What is BI?
    • What is Data Visualization
    • Data VIsualization Tools

    View Course

    Introduction to Data Science

    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

    star 4.5 · 64.5K+ learners · 1.0 hours
    Free icon Free

    View Course

    Data Science Foundations

    Great Learning Academy

    Data Science Foundations

    Skills: Data Science, Analytics Landscape, Data Science Life Cycle fundamentals

    star 4.45 · 6.4L+ learners · 2.0 hours
    Free icon Free

    View Course

    Python for Data Science

    Great Learning Academy

    Python for Data Science

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

    star 4.43 · 1.1L+ learners · 2.0 hours
    Free icon Free

    View Course

    R for Data Science

    Great Learning Academy

    R for Data Science

    Skills: Basics of R, Data structures in R, Data Manipulation in R, Data Visualisation in R

    star 4.54 · 13.7K+ learners · 2.0 hours
    Free icon Free

    View Course

    Excel for Data Science for Beginners

    Great Learning Academy

    Excel for Data Science for Beginners

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

    star 4.49 · 18.8K+ learners · 1.5 hours
    Free icon Free

    View Course

    Data Preprocessing

    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

    star 4.54 · 9.5K+ learners · 2.0 hours
    Free icon Free

    View Course

    SQL for Data Science

    Great Learning Academy

    SQL for Data Science

    Skills: Data Analysis, SQL, SQL with Python

    star 4.51 · 1.6L+ learners · 3.0 hours
    Free icon Free

    View Course

    Data Science Mathematics

    Great Learning Academy

    Data Science Mathematics

    Skills: Mathematics for Data Science, Case studies

    star 4.34 · 14.6K+ learners · 1.0 hours
    Free icon Free

    View Course

    Data Visualization With Power BI

    Great Learning Academy

    Data Visualization With Power BI

    Skills: Data Visualization, Power BI, Components of Power BI,Visual Analytics

    star 4.52 · 3.1L+ learners · 1.5 hours
    Free icon Free

    View Course

    Learner reviews of the Free Data Science Courses

    Our learners share their experiences of our courses

    4.5
    69%
    22%
    6%
    1%
    2%
    Reviewer Profile

    5.0

    “Excellent Introductory Course for Data Science Enthusiasts”
    I enjoyed the course structure and the way complex concepts were broken down into simpler, digestible parts. The practical examples and hands-on projects helped me apply what I learned effectively. It was a great introduction to the world of data science, and I feel much more confident now.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “Great Platform for Career Preparation”
    I came here to learn more about data science. With a background in mathematics, I knew enough about statistical analysis but lacked an understanding of the proper workings and ideas of what data science is all about. This course really helped me.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “It Was a Nice Experience and I Got a Great Start to the Subject”
    The course was well delivered, and I am so grateful to participate.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “I Was Able to Get a Good Understanding of What Data Science Is All About”
    I liked the course content structure and the language made it easy to understand. Topics were covered in a systematic manner, giving an overview and further insights that need to be taken into account.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “A Wonderfully Practical Course - Both Personally and Professionally”
    Thank you for a great course. Great presentation style with lots of opportunities to ask questions and talk about real-life examples, which all made for a really enjoyable and informative course. This has more than met my expectations.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “It Was a Very Quick and Engaging Course”
    I loved the way the topics, which seemed to be of great depth, were explained effortlessly. As a result, the course was easy to follow and allowed me to retain whatever crucial knowledge was shared.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “I Gained a Solid Foundation in Data Science Fundamentals”
    This course has been instrumental in laying the groundwork for my data science journey, and I look forward to continuing my growth and development in this field.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “Exemplary Curriculum That Is Easy to Follow and a Perfect Instructor”
    The instructor was audible and clear with a good understanding of the topics. He explained the concepts and processes well enough to follow clearly. The course is also well structured.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “First, I Gained an In-Depth Understanding of Introduction to Data Science”
    I enjoyed the structured and comprehensive approach to learning, especially how the courses break down complex topics into digestible sections. The real-world case studies and interactive learning methods also kept me engaged, making the concepts easier to grasp.

    LinkedIn Profile

    Reviewer Profile

    5.0

    “The Course Was Informative and Engaging”
    The course provided a solid introduction to data science concepts, covering essential topics such as statistics, data manipulation, machine learning, and data visualization. The materials were well-structured and easy to follow.

    LinkedIn Profile

    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

    instructor img

    Dr. Abhinanda Sarkar

    Senior Faculty & Director Academics, Great Learning
    • 30+ years of experience in data science, ML, and analytics.
    • Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
    instructor img

    Dr. Bappaditya Mukhopadyay

    Professor, Analytics & Finance
    instructor img

    Mr. Bharani Akella

    Data Scientist
    instructor img

    Denver Dias

    Senior Data Science Consultant
    • Holds 8+ yrs exp. & delivered AI solutions for Fortune 500 firms
    • Expert in A/B testing, ML models, and predictive analytics
    instructor img

    Dr. D Narayana

    Senior Faculty, Academics, Great Learning
    • 18+ years in AI, ML, and financial engineering solutions
    • PhD in Mathematics from Pierre and Marie Curie University, France
    instructor img

    Mr. Vishal Padghan

    instructor img

    Mr. Bharani Akella

    Data Scientist
    instructor img

    Dr. Abhinanda Sarkar

    Senior Faculty & Director Academics, Great Learning
    • 30+ years of experience in data science, ML, and analytics.
    • Ph.D. from Stanford, taught at MIT, ISI, and IIM Bangalore.
    instructor img

    Mr. Rounak Dholakia

    Academic Operations Head (PGP DSBA)
    instructor img

    Dr. P K Viswanathan

    Professor, Analytics & Operations
    instructor img

    Mr. Gaelim Holland

    Senior Data Scientist
    instructor img

    Prof. Raghavshyam Ramamurthy

    Industry Expert in Visualization
    instructor img

    Mr. Viplove Raj Sharma

    Associate Director
    instructor img

    Vivekanand R

    Industry Expert in Visualization
    instructor img

    Dr. R.L. Shankar

    Professor, Finance & Analytics
    instructor img

    Dr. Bradford Tuckfield

    Co-Founder & Director, Wilson Consulting
    • 10+ years of expertise in statistics, programming, and machine learning.
    • 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?

    These Data Science courses offers a certificate of completion upon finishing, not a professional certification.

    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.