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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BASICS

4.5 70.7K+ 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

4.43 118.7K+ 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

4.54 14.8K+ 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 20.1K+ 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

4.51 175.5K+ 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

4.51 102.8K+ 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

4.59 16.3K+ 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 6K+ 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

4.52 115.1K+ 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

4.52 361.6K+ learners 1.5 hrs

Data Visualization With Power BI

Skills: Power BI usage, data loading, creating reports, dashboards, slicers & filters, visual interactivity

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BASICS

Introduction to Data Science

4.5 70.7K+ learners 1 hr

BASICS

Python for Data Science

4.43 118.7K+ learners 2 hrs

BASICS

R for Data Science

4.54 14.8K+ 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 20.1K+ learners 1.5 hrs

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

BASICS

SQL for Data Science

4.51 175.5K+ 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

4.51 102.8K+ 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

4.59 16.3K+ learners 1.5 hrs

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

BASICS

Foundations of Data Visualization using Tableau

4.52 6K+ learners 2 hrs

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

BASICS

Data Visualization using Tableau

4.52 115.1K+ learners 2 hrs

BASICS

Data Visualization With Power BI

4.52 361.6K+ learners 1.5 hrs

Skills: Power BI usage, data loading, creating reports, dashboards, slicers & filters, visual interactivity

Explore Courses

Get started with these courses

BASICS

4.52 6K+ 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

4.54 14.8K+ 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

4.52 361.6K+ learners 1.5 hrs

Data Visualization With Power BI

Skills: Power BI usage, data loading, creating reports, dashboards, slicers & filters, visual interactivity

View Course

BASICS

4.51 175.5K+ 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

4.43 118.7K+ learners 2 hrs

Python for Data Science

View Course

BASICS

4.52 115.1K+ learners 2 hrs

Data Visualization using Tableau

View Course

BASICS

4.51 102.8K+ 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 70.7K+ learners 1 hr

Introduction to Data Science

View Course

BASICS

4.49 20.1K+ learners 1.5 hrs

Excel for Data Science for Beginners

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

View Course

BASICS

4.59 16.3K+ 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 6K+ 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

4.54 14.8K+ 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

4.52 361.6K+ learners 1.5 hrs

Data Visualization With Power BI

Skills: Power BI usage, data loading, creating reports, dashboards, slicers & filters, visual interactivity

View Course

BASICS

4.51 175.5K+ 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

4.43 118.7K+ learners 2 hrs

Python for Data Science

View Course

BASICS

4.52 115.1K+ learners 2 hrs

Data Visualization using Tableau

View Course

BASICS

4.51 102.8K+ 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 70.7K+ learners 1 hr

Introduction to Data Science

View Course

BASICS

4.49 20.1K+ learners 1.5 hrs

Excel for Data Science for Beginners

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

View Course

BASICS

4.59 16.3K+ 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

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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!

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Saraswathi Dhamasthapuram

5.0

★★★★ ★

India

“Completed Intro to Data Science: Skills and Analysis!”

I enjoyed the Introduction to Data Science course for its hands-on approach and practical applications. The course covered essential topics like data cleaning, visualization techniques using Python libraries such as Matplotlib and Seaborn, and statistical analysis.

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Zaryll Praise Maroliña

5.0

★★★★ ★

Philippines

“Perfect Course for Data Science Novices!”

This course provides a fantastic introduction to data science. It covers key concepts, tools, and methodologies, making it ideal for beginners eager to dive into the data-driven world.

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Darko Bezanoski

4.0

★★★ ★ ☆

“Data Science Beginner Course Introduction”

I really enjoyed my data science course! The blend of statistics, programming, and analytical thinking was fascinating. I loved learning how to extract insights from data and apply various machine learning techniques. The hands-on projects allowed me to work with real datasets, which made the concepts come alive. I also appreciated the collaborative environment, where sharing ideas with classmates enhanced my understanding. Overall, the course sparked my passion for data science and motivated me to explore it further.

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Carrie Neatherlin

5.0

★★★★ ★

United States

“A Great Introduction to Data Science”

This was very easy to enroll in and watch. The course covered many topics about data science and the different fields that come together. For someone who is not sure about this career, I highly recommend this course. I felt like I was in a University lecture hall and I learned a great deal of information. I'm ready to continue!

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Jayoda Pramuditha

5.0

★★★★ ★

“Introduction to Data Science is an Engaging Course that Explores Key Concepts like Data Analysis, Visualization, and Predictive Modeling.”

I enjoyed the clarity of concepts and the practical examples that made understanding easier. The step-by-step approach to data analysis and the integration of real-world applications were particularly engaging.

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Perugu Nikhitha Reddy

5.0

★★★★ ★

India

“The Curriculum is Comprehensive and Covers Key Concepts Thoroughly.”

The Introduction to Data Science course by Great Learning provides an excellent foundation for beginners looking to explore the field of data science. The course content is well-structured, starting with an overview of data science concepts and their applications across industries. The emphasis on understanding the data lifecycle—data collection, cleaning, analysis, visualization, and interpretation—is particularly valuable for building a solid base.

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Hiba Benlmouadne

5.0

★★★★ ★

Morocco

“Exploring Data Science: Key Takeaways from My Learning Experience”

The course provided a comprehensive overview of key topics such as data analysis, statistical methods, and data visualization, helping me understand how data science can be applied to solve real-world problems. I particularly appreciated how the course emphasized the importance of data-driven decision-making and the various tools available for analyzing and interpreting data. The real-world examples and case studies gave me practical insights into how data science is used across different industries.

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Aga Chimdesa

5.0

★★★★ ★

“Course: Introduction to Data Science”

The easiest to follow course, attractive and well-organized.

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Christiana Etuk

5.0

★★★★ ★

Nigeria

“It Was Straight to the Point and Easily Understood”

Keep up the good work. I loved everything about the course and I learned so much.

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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

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Learner reviews of the Free Programming for Data Science Courses

Meet your faculty

Dr. Abhinanda Sarkar

Mr. Bharani Akella

Denver Dias

Mr. Vishal Padghan

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