Programming for Data Science

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Programming for data science is essential for extracting insights from data. It enables data manipulation, analysis, and model building using programming languages and tools.

Specialized courses in data science programming provide comprehensive coverage of essential concepts, equipping you with the skills to handle large datasets, implement algorithms, and uncover patterns.

Gaining proficiency in programming languages through these courses empowers you to explore and analyze data, making it a vital skill for tackling complex challenges and driving data-driven decisions.

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UNIVERSITY

Great Learning

Generative AI for Practitioners

12 weeks • Online

UNIVERSITY

Walsh College

MS in Artificial Intelligence & Machine Learning

2 Years • Online

UNIVERSITY

MIT IDSS

AI and Data Science: Leveraging Responsible AI, Data and Statistics for Practical Impact

12 weeks • Online

UNIVERSITY

MIT Professional Education

No Code and Agentic AI

14 Weeks • Online

Learn from MIT Faculty

UNIVERSITY

Johns Hopkins University

Applied Generative AI and Agentic AI

16 weeks • Online

BASICS

4.5 73.4K+ learners 1 hr

Introduction to Data Science

Skills: Fundamentals of DataScience, Basics of Data Preprocessing techniques, Statistical Distributions,A/B Testing, Time series analysis, Fundamentals of Big Data, Database, Tables, Relationships,Relational Database Management System, Non- relational Databases

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BASICS

4.43 120.6K+ learners 2 hrs

Python for Data Science

Skills: Data Analytics, Problem-solving, Insights, Predictive Modeling, Business Intelligence, Data Science Process, Data Preprocessing Techniques,Data Science Components ,Career Trajectory, Programming Basics,Data Handling using Python,Numpy and Pandas

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BASICS

4.55 15.6K+ learners 2 hrs

R for Data Science

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

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BASICS

4.49 20.7K+ learners 1.5 hrs

Excel for Data Science for Beginners

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

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BASICS

4.51 189.8K+ learners 3 hrs

SQL for Data Science

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

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BASICS

4.51 103.7K+ learners 1.5 hrs

Exploratory Data Analysis Essentials

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

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BASICS

Intro to Exploratory Data Analysis with Excel

4.6 16.6K+ learners 1.5 hrs

Intro to Exploratory Data Analysis with Excel

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

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BASICS

Foundations of Data Visualization using Tableau

4.52 6.1K+ learners 2 hrs

Foundations of Data Visualization using Tableau

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

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BASICS

4.52 117K+ learners 2 hrs

Data Visualization using Tableau

Skills: Business Intelligence Fundamentals, Data Visualization Principles, Introduction to Tableau, Understanding Data Types, Navigating the Tableau Interface, Creating Dashboards, Visual Analytics Techniques, Hands-on Tableau Exercises, Integrating Data Sources.

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BASICS

4.52 399.9K+ learners 2 hrs

Data Visualization With Power BI

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

View Course

BASICS

Introduction to Data Science

4.5 73.4K+ learners 1 hr

BASICS

Python for Data Science

4.43 120.6K+ learners 2 hrs

BASICS

R for Data Science

4.55 15.6K+ learners 2 hrs

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

BASICS

Excel for Data Science for Beginners

4.49 20.7K+ learners 1.5 hrs

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

BASICS

SQL for Data Science

4.51 189.8K+ learners 3 hrs

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

BASICS

Exploratory Data Analysis Essentials

4.51 103.7K+ learners 1.5 hrs

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

BASICS

Intro to Exploratory Data Analysis with Excel

4.6 16.6K+ learners 1.5 hrs

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

BASICS

Foundations of Data Visualization using Tableau

4.52 6.1K+ learners 2 hrs

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

BASICS

Data Visualization using Tableau

4.52 117K+ learners 2 hrs

BASICS

Data Visualization With Power BI

4.52 399.9K+ learners 2 hrs

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

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Get started with these courses

BASICS

4.52 6.1K+ learners 2 hrs

Foundations of Data Visualization using Tableau

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

View Course

BASICS

4.55 15.6K+ learners 2 hrs

R for Data Science

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

View Course

BASICS

4.52 399.9K+ learners 2 hrs

Data Visualization With Power BI

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

View Course

BASICS

4.51 189.8K+ learners 3 hrs

SQL for Data Science

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

View Course

BASICS

4.43 120.6K+ learners 2 hrs

Python for Data Science

View Course

BASICS

4.52 117K+ learners 2 hrs

Data Visualization using Tableau

View Course

BASICS

4.51 103.7K+ learners 1.5 hrs

Exploratory Data Analysis Essentials

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

View Course

BASICS

4.5 73.4K+ learners 1 hr

Introduction to Data Science

View Course

BASICS

4.49 20.7K+ learners 1.5 hrs

Excel for Data Science for Beginners

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

View Course

BASICS

4.6 16.6K+ learners 1.5 hrs

Intro to Exploratory Data Analysis with Excel

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

View Course

New

BASICS

4.52 6.1K+ learners 2 hrs

Foundations of Data Visualization using Tableau

Skills: Visual Analytics Basics, Importing Data into Tableau, Bar Chart, Line Chart, Histogram

View Course

BASICS

4.55 15.6K+ learners 2 hrs

R for Data Science

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

View Course

Popular

BASICS

4.52 399.9K+ learners 2 hrs

Data Visualization With Power BI

Skills: Power BI usage, Data Loading, Creating Reports, Dashboards, Slicers & Filters, Visual Interactivity

View Course

BASICS

4.51 189.8K+ learners 3 hrs

SQL for Data Science

Skills: Data Analysis, SQL, SQLite, Power BI, SQL With Python, SQL Clauses, GROUP BY Statement, HAVING Clause, Aliases In SQL, Joins in SQL, Subqueries, Python Concepts With SQL

View Course

BASICS

4.43 120.6K+ learners 2 hrs

Python for Data Science

View Course

BASICS

4.52 117K+ learners 2 hrs

Data Visualization using Tableau

View Course

BASICS

4.51 103.7K+ learners 1.5 hrs

Exploratory Data Analysis Essentials

Skills: Exploratory data analysis, summary statistics, data cleaning, visualization (histograms, boxplots, scatter), handling missing values

View Course

BASICS

4.5 73.4K+ learners 1 hr

Introduction to Data Science

View Course

BASICS

4.49 20.7K+ learners 1.5 hrs

Excel for Data Science for Beginners

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

View Course

BASICS

4.6 16.6K+ learners 1.5 hrs

Intro to Exploratory Data Analysis with Excel

Skills: EDA Basics ,Data Analysis ,Data Cleaning,Data Manipulation,Univariate Analysis

View Course

Learner reviews of the Free Programming for Data Science Courses

Our learners share their experiences of our courses

4.51

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Munib Mir

5.0

★★★★ ★

India

“Comprehensive and Engaging Data Science Learning Experience!”

Great Learning's Data Science course exceeded my expectations! The curriculum was well-structured, with insightful lectures, hands-on projects, and real-world applications. The instructors explained complex concepts in an easy-to-understand manner, making learning engaging and effective. I highly recommend this course to anyone looking to build a strong foundation in Data Science!

Abhishek Sawant

5.0

★★★★ ★

India

“Completing the Data Science Course at Great Learning Was Enriching”

Data science involves extracting insights from structured and unstructured data using techniques from statistics, machine learning, and computer science. It helps identify trends, make predictions, and drive decision-making across industries like healthcare, finance, and marketing. Key skills include data analysis, programming, and data visualization.

Eran Abeyewardene

5.0

★★★★ ★

“Introduction to Data Science Course”

It was a great course, which covers key aspects regarding Data Science, helping establish the basic knowledge.

Thomas Isse

5.0

★★★★ ★

“This is an Amazing Opportunity to Learn”

I have enjoyed learning the first topic of the course. It is really nice and straightforward. Thanks very much to the Great Learning team.

Nirmal Dawda

5.0

★★★★ ★

Canada

“Big Data Learning and Flow Diagram for Data Science”

I am excited to jump into the field of data science and understand the behavior of data in the various sectors where I can implement what I have learned.

Syed Zaki Hussain

5.0

★★★★ ★

“Introduction to Data Science with SQL and NoSQL”

It was greatly explained with every detail summarized and examples were given. The teacher was also one of the best and knew what he was teaching.

Mohammad Alaei

5.0

★★★★ ★

“Acquainted with Concepts Related to Data Science”

By completing this training course, I briefly got acquainted with the concepts related to data science, data life cycle, three-way big data, etc. I also understood the difference between SQL and NoSQL well.

Erin Nathania

5.0

★★★★ ★

Indonesia

“Review of Great Learning's Data Science Course”

Amazing features! Got to take notes during the course, the instructor also explained things really well. It's a great start for those who want to get into data science!

Refilwe

5.0

★★★★ ★

“Intro to Data Science, SQL and NoSQL”

Explained well and not overwhelming. The relation between computer science, mathematics, and statistics as well as business intelligence.

Kelly Stewart

5.0

★★★★ ★

United States

“Highlights of My Learning Experience”

I liked that it was easy to understand and follow along with.

Meet your faculty

Meet industry experts who will teach you relevant skills in artificial intelligence

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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.

Bharani has been working in the field of data science for the last 2 years. He has expertise in languages such as Python, R and Java. He also has expertise in the field of deep learning and has worked with deep learning frameworks such as Keras and TensorFlow. He has been in the technical content side from last 2 years and has taught numerous classes with respect to data science.

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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

Vishal has 3+ years of experience in the field of Data Science, Digital Marketing and Cloud Computing. He has expertise in Cloud platforms Like AWS, Azure and has exposure to Paid Marketing, Organic Marketing and Content. He has been in the Digital space from the last 3 years and also, he has been involved in teaching numerous classes for Digital Marketing and Cloud Computing