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 73.3K+ 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

4.43 120.3K+ 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 15.4K+ 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 20.5K+ 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

4.51 186.5K+ 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

4.51 103.5K+ 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 16.6K+ 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

4.52 116.6K+ 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

4.52 389.4K+ 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 73.3K+ learners 1 hr

BASICS

Python for Data Science

4.43 120.3K+ learners 2 hrs

BASICS

R for Data Science

4.54 15.4K+ 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 20.5K+ learners 1.5 hrs

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

BASICS

SQL for Data Science

4.51 186.5K+ 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

4.51 103.5K+ 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 16.6K+ 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

4.52 116.6K+ learners 2 hrs

BASICS

Data Visualization With Power BI

4.52 389.4K+ learners 1.5 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

4.54 15.4K+ 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

4.52 389.4K+ 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

4.51 186.5K+ 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

4.43 120.3K+ learners 2 hrs

Python for Data Science

View Course

BASICS

4.52 116.6K+ learners 2 hrs

Data Visualization using Tableau

View Course

BASICS

4.51 103.5K+ 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 73.3K+ learners 1 hr

Introduction to Data Science

View Course

BASICS

4.49 20.5K+ 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 16.6K+ 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

4.54 15.4K+ 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

4.52 389.4K+ 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

4.51 186.5K+ 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

4.43 120.3K+ learners 2 hrs

Python for Data Science

View Course

BASICS

4.52 116.6K+ learners 2 hrs

Data Visualization using Tableau

View Course

BASICS

4.51 103.5K+ 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 73.3K+ learners 1 hr

Introduction to Data Science

View Course

BASICS

4.49 20.5K+ 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 16.6K+ 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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Karla Lee

5.0

★★★★ ★

United States

“What I Like About This Course is the Breakdown of Complex AI Concepts”

Also, it's easy to follow for beginners like me. I enjoyed the online introduction to AI course because it provided clear, concise explanations of complex topics. The interactive exercises helped reinforce key concepts, and the flexibility of learning at my own pace was convenient. Overall, the course offered a great foundation in AI, sparking further interest in the field.

siricherry arikati

5.0

★★★★ ★

United States

“In-Depth Explanation Provided by the Instructor”

I really liked the depth in which the instructor explained each topic. I was able to follow each topic and I was glad I could go back and review if I missed a certain part of the video.

Ayush Bhatt

5.0

★★★★ ★

India

“Great Beginning in the Journey of Data Science”

Liked the simplicity of the topic as well as it was quintessentially explained. Any beginner can follow it easily to dive deeper into the course of data science with its help.

Beryl Zionah

4.0

★★★ ★ ☆

India

“Introduction to Data Science, Big Data, SQL, and NoSQL and Various Processes and Tools”

I really liked the way the instructor explained the concept and tools required and the various topics involved in the domain. Easily understandable due to the use of graphs.

Veeresh KN

5.0

★★★★ ★

India

“It's Very Easy to Understand Topics in Course by Course”

Short and simple introduction to the topic and not dragging the topic. That makes learners show interest in learning new concepts.

Kishore Jamsutkar

5.0

★★★★ ★

India

“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.

Harshitha H

5.0

★★★★ ★

India

“Very Good, This Made Me Easily Learn and Boost My Skills”

There are no words to explain. It was so interesting and easy to learn. I had a great learning experience.

samir khan

5.0

★★★★ ★

India

“It Was a Really Good Experience and Focused Session on Data Science”

Analytics, machine learning, developing, and DevOps topics.

Anubhav Vashist

5.0

★★★★ ★

India

“Information About Data Science to Grow”

This course was really helpful to understand what Data Science includes and get the vision to do this.

Suneha S

5.0

★★★★ ★

India

“Data Science in Which All the Topics Were Detailed and Easy to Understand”

The most liked was the quizzes and assignments where we had to implement what we had learned.

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

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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

Denver Dias

Mr. Vishal Padghan

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