Are you looking for the** Best Online Courses for Data Science?** If yes, then your search will end after reading this article. In this article, I have listed the **18** **Best Online Courses for Data Science**. These courses will boost your data science skills. So read this full article, and choose the Best Online Courses for you.

**Summary of Best Online Data Science Courses**

**Data Science** – **Datacamp**

If you are a beginner, then this is the best course to begin your data science journey.

** Applied Data Science**–

**Coursera**

This Data Science specialization Program is the perfect mixture of **theory and practical applications**.

**Become a Data Scientist– Udacity**

In this advanced program, you will learn how to solve **Data Science Problems** using **Python Programming and** **Data Engineering skills**.

**Intro to Data Science– Udacity**

You will learn the **fundamentals of data science, data wrangling, normal distribution, data visualization, and the basics of MapReduce.**

- 1. IBM Data Science Professional Certificate- Coursera
- 2. Become a Data Scientist– Udacity
- 3. Data Science Specialization- Coursera
- 4. Applied Data Science with Python Specialization- Coursera
- 5. Programming for Data Science with Python- Udacity
- 6. Data Science for Everyone- Datacamp
- 7. Data Scientist with Python- Datacamp
- 8. Professional Certificate in Data Science- edX
- 9. MicroMasters® Program inData Science- edX
- 10. The Data Science Course 2024: Complete Data Science Bootcamp- Udemy
- 11. Business Analytics Specialization- Coursera
- 12. Data Engineering, Big Data, and Machine Learning on GCP Specialization- Coursera
- 13. Understanding Data Science- DataCamp
- 14. Introduction to Data Science in Python- DataCamp
- 15. Python Data Science Toolbox (Part 1)- DataCamp
- 16. Python Certification Training for Data Science- Edureka
- 17. Data Scientist Masters Program- Edureka
- 18. Career Path Data Science- Codecademy
- Personal Note
- Conclusion
- FAQ

## **Best Online Courses for Data Science** **in 2024**

Data Science is one of the most popular fields. Data Science offers a high salary. Everyone is trying to come to the Data Science field.

In the Data Science field, **demand is high but supply is low.** This is the biggest reason for the high salary in Data Science.

A data scientist requires an in-depth knowledge of the **following skills-**

- Programming Skills
- Statistics or Probability
- Machine Learning
- Multivariate Calculus and Linear Algebra
- Data wrangling.
- Data Visualization.
- Database Management
- BigData

For Data scientists, a **Ph.D. degree is not mandatory**. If you have in-depth knowledge of these skills, you can easily get a job in Data Science Field.

The next question is where to learn?

Right?

So, there are various **courses and books **available which will help you in your data science journey. Reading books is sometimes difficult. That’s why there are various online courses available. With these courses, you can learn advanced data science skills at your own pace.

**In this article, you will find the 18 Best Online Courses for Data Science for you.**

Now without any further ado, let’s get started-

**1. IBM Data Science Professional Certificate**– **Coursera**

**Provider-** IBM

**Rating**– 4.6/5

**Time to Complete- **10 months (5 hours per week)

This is one of the highly enrolled and highly rated course series. This **Professional Certificate from IBM** is for anyone who wants to start a career in Data Science.

This program consists of 9 courses. These 9 courses will cover all Data Science skills starting from **open source tools and libraries, methodologies, Python, databases, SQL, data visualization, data analysis, and machine learning.**

To start **Professional Certificate from IBM** **Program**, no prior knowledge of Computer Science and Programming is required.

Now, let’s see what skills will you gain after completing this course-

**Skills Gain-**

- Data Science
- Machine Learning
- Python Programming
- Data Analysis
- Data Visualization (DataViz)
- Predictive Modelling
- Relational Database Management System (RDBMS)
- SQL
- Cloud Databases
- Pandas, Numpy, and Ipython.
**Hands-on assignments**and built a portfolio of data science projects.

**On Which tools, you will work?**

- Jupyter/JupyterLab,
- Zeppelin notebooks,
- R Studio,
- Watson Studio

**On Which projects, you will work?**

- Random album generator,
- Predict housing prices,
- Best classifier model,
- Battle of neighborhoods.

**Courses include**–

This Specialization Program consists of 9 Courses-

**What is Data Science?****Tools for Data Science****Data Science Methodology****Python for Data Science and AI****Databases and SQL for Data Science****Data Analysis with Python****Data Visualization with Python****Machine Learning with Python****Applied Data Science Capstone**

You can also enroll in a single course. And after completing a single course, you will get a shareable certificate. But completing the full program is beneficial for you.

**Extra Benefits-**

- You will earn a Professional Certificate from Coursera.
- You will get a
**Digital Badge from IBM**. - After completing the Professional Certificate, you will get
**FREE**career resources.

**Who Should Enroll?**

- Those who are beginners, with no prior experience in Data Science.
- The one, who is looking to start a new career, or wants to change the current one.

**Interested to Enroll?**

If yes, then check out all details here- **IBM Data Science Professional Certificate**.

The next **Best Online Course for Data Science** is-

**2. Become a Data Scientist– Udacity**

**Rating-** 4.7/5

**Time to Complete-** 4 months( If you spend 10 hrs/week)

This is a **Nano-Degree Program** offered by Udacity. In this Nanodegree program, you will learn how to solve **Data Science Problems** using Python Programming, **Software Engineering Skills**, and **Data Engineering skills**.

The best thing about **Udacity Data Science Nanodegree** is that it is more practical than other courses. That means Udacity data science Nanodegree is structured in a way that after every set of courses there is a project that you need to submit.

In this Nanodegree program, you will work on the following projects-

**Build Disaster Response Pipelines with Figure Eight****Design a Recommendation Engine with IBM****Data Science Capstone Project**

In **Data Science Capstone Project**, you have to choose from these projects or you can choose any other project.

**Dog Breed Classification( Neural Networks)****Starbucks( Customer Segmentation)****Arvato Financial Services (Likely Supervised Learning)****Spark for Big Data (Customer churn with PySpark)****Any other project of your choice.**

**Extra Benefits-**

- You will chance to work on
**real-world projects with industry experts.** - You will get
**Project feedback from experienced reviewers**. - You will also get
**Technical mentor support.**

**Who Should Enroll?**

Those who are comfortable with the following concepts-

- Python programming, including common data analysis libraries (NumPy, pandas, Matplotlib).
- SQL programming
- Statistics (Descriptive and Inferential)
- Calculus
- Linear Algebra
- Experience wrangling and visualizing data

**Interested to Enroll?**

If yes, then check out all details here- **Become a Data Scientist Program**

**3.** **Data Science Specialization**– **Coursera**

**Provider-** Johns Hopkins University

**Rating**– 4.5/5

**Time to Complete- **11 months (7 hours per week)

This is also one of the most highly rated and enrolled course series. In this course series, there is a separate section on statistics. And Knowledge of Statistics is mandatory for Data Science.

This Data Science specialization Program is the perfect mixture of **theory and practical applications**. R programming language is used for all Data Science related tasks.

This program has 10 courses.

**Skills Gain-**

- Data Science
- Machine Learning
- R Programming
- Rstudio
- Github
- Regression Analysis
- Data Analysis
- Data Manipulation
- Data Cleansing
- Cluster Analysis
- Debugging
- Regular Expression (REGEX)
- Hands-on project using R Programming Language.

**Courses include-**

This Specialization Program consists of 10 Courses-

**The Data Scientist’s Toolbox****R Programming****Getting and Cleaning Data****Exploratory Data Analysis****Reproducible Research****Statistical Inference****Regression Models****Practical Machine Learning****Developing Data Products****Data Science Capstone**

You can also enroll for any course within these 10 courses. And after completing the course and hands-on project, you will get a certificate. But completing the full program is beneficial for you.

**Extra Benefits-**

- You will earn a
**Shareable Certificate**after completing the**Data Science specialization Program**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.**

**Who Should Enroll?**

- Those who have beginner-level knowledge in any programming language.
- If you want to master skills in Data Science.

**Interested to Enroll?**

If yes, then check out all details here- **Data Science Specialization**

The next **Best Online Course for Data Science** is-

### 4. **Applied Data Science with Python Specialization– Coursera**

**Provider- **University of Michigan

**Rating-** 4.5/5

**Time to Complete- **5 months ( 7 hours per week)

This specialization program teaches data science through the **python programming language.**

You will get a strong introduction to data science Python libraries, like **matplotlib, pandas, nltk, scikit-learn, and networkx.**

This course series **doesn’t** include **Statistics needed for Data Science** and various **Machine Learning algorithms**. It focuses on how to use these algorithms in Python.

If you want to learn Statistics first, then consider the **Statistics with Python Specialization**. In Statistics with Python Specialization, you will learn very important Statistical skills that are required for data science.

**Skills Gain-**

- Text Mining
- Python Programming
- Data Cleansing
- Data Virtualization
- Data Visualization (DataViz)
- Machine Learning (ML) Algorithms
- Natural Language Toolkit (NLTK)

**Courses include-**

This Specialization Program consists of 5 Courses-

**I****ntroduction to Data Science in Python****Applied Plotting, Charting & Data Representation in Python****Applied Machine Learning in Python****Applied Text Mining in Python****Applied Social Network Analysis in Python**

All 5 Courses are required to earn a certificate.

**Extra Benefits-**

**Extra Benefits-**

- You will earn a
**Shareable Certificate**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.**

**Who Should Enroll?**

- This program is
**not for Beginners.**Those who have**Intermediate level knowledge**in Data Science can Enroll in this program. - The one, who has basic python or programming knowledge.

**Interested to Enroll?**

If yes, then check out all details here- **Applied Data Science with Python Specialization**

The next course in the list** of Best Online Courses for Data Science** is-

**5. Programming for Data Science with Python– Udacity**

**Provider- **UDACITY

This is a Nanodegree program offered by Udacity. In this Nanodegree program, you will learn how to **represent and store data using Python** **data types and variables**. You will also use **conditionals and loops** to control the flow of your programs.

By using complex data structures like **lists, sets, dictionaries, and tuples**, you will store collections of related data. You will also learn two powerful Python libraries – **Numpy and Pandas.**

**What You Will Learn in Programming for Data Science with Python**?

- Introduction to SQL
- Introduction to Python Programming
- Introduction to Version Control

**Extra Benefits-**

- You will chance to work on
**real-world projects with industry experts.** - You will get
**Project feedback from experienced reviewers**. - You will also get
**Technical mentor support.** - Along with that, you will get
**Resume services, Github review, LinkedIn profile review.**

**Who Should Enroll?**

- Anyone can enroll in this program who has
**basic computer skills.**

**Interested to Enroll?**

If yes, then check it out here- **Programming for Data Science with Python**

The alternative for R Learners- **Programming for Data Science with R**

**6. ****Data Science for Everyone**– **Datacamp**

**Data Science for Everyone**

**Time to Complete- **4 hours

This is a beginner-friendly course, where you will learn about the basics of data science like** Introduction to Data Science, data science workflow, Data preparation, and experimentation and prediction.** If you are a beginner, then this is another best course to begin your data science journey.

There are 4 chapters in this course-

**Introduction to Data Science****Data Collection and Storage****Preparation, Exploration, and Visualization****Experimentation and Prediction**

**Who Should Enroll?**

- Who is a beginner in data science.

**Interested to Enroll?**

If yes, then check out the course details here- **Data Science for Everyone**

**7. ****Data Scientist with Python**– **Datacamp**

**Data Scientist with Python**

**Time to Complete- **88 hours

This is a career track with 29 courses. If you are looking for a course that will provide all data science information in one place, then this is the best pick for you. This career track begins with **Python Programming**. You will learn Python from scratch.

After learning Python, you will learn **Data Manipulation with pandas, data visualization with matplotlib and Seaborn, statistical thinking in Python, machine learning,** and much more. Throughout these courses, you will work on **real-world problems.**

**Who Should Enroll?**

- Those who are a complete beginner in data science, and looking for step by step career track for data science.

**Interested to Enroll?**

If yes, then check out the details here- **Data Scientist with Python**

If you are planning to learn Data Science with R, then you can check this career track- **Data Scientist with R**

**8. Professional Certificate in Data Science– edX**

**Provider- **Harvard University

**Time to Complete- **1 year 5 months ( If you spend 3 hours per week)

In this program, you will learn **probability, inference, regression, and machine learning**. Along with this, you will learn an essential skill set that includes **R programming, data wrangling with dplyr, data visualization with ggplot2, file organization with Unix/Linux, version control with git, and GitHub, and reproducible document preparation with RStudio.**

Each course contains case studies such as **Trends in World Health and Economics, US Crime Rates, The Financial Crisis of 2007-2008, Election Forecasting, Building a Baseball Team (inspired by Moneyball), and Movie Recommendation Systems. **

Along with this, you will also learn **R, statistical concepts, and data analysis techniques. **There are courses in this program. Now let’s see the course details-

**Course Details-**

**Data Science: R Basics****Data Science:****Visualization****Data Science:****Probability****Data Science:****Inference & Modeling****Data Science:****Productivity Tools****Data Science:****Wrangling****Data Science:****Linear Regression****Data Science:****Machine Learning****Data Science:****Capstone**

**Who Should Enroll?**

- Anyone can enroll. There is no prerequisite.

**Interested to Enroll?**

If yes, then check out the program details here- **Professional Certificate in Data Science**

**9. MicroMasters**^{®} Program inData Science– edX

^{®}Program inData Science– edX

**Provider- **UCSanDiego

**Time to Complete- **10 months (9-11 hours per week)

In this program, you will learn the **mathematical and computational tools** that form the basis of data science. You will also learn how to use those tools to make data-driven business recommendations.

This program has two sides to data science learning- **mathematical and applied.**

In the mathematics course, you will learn **probability, statistics, and machine learning**. And in applied, you will get to know about **Python, Numpy, Matplotlib, pandas and Scipy, the Jupyter notebook environment, and Apache Spark**.

This program has 4 courses. Now let’s see the details of the courses-

**Courses Include-**

**Python for Data Science****Probability & Statistics in Data Science using Python****Machine Learning Fundamentals****Big data analytics using Spark**

**Who Should Enroll?**

- Who is familiar with programming languages and has a basic understanding of high-school-level math.

**Interested to Enroll?**

If yes, then check out the program details here- **MicroMasters ^{®} Program inData Science**

**10. The Data Science Course 2024: Complete Data Science Bootcamp**– **Udemy**

**Time to Complete- **28.5 hours

This is the best course, I have found on Udemy. Why…? because this course tries to cover almost all necessary topics of data science. This course covers the following topics- Intro to data science, statistics, and mathematics required for data science, Python, Tableau, machine learning, and deep learning.

**Extra Benefits-**

- You will get
**a Certificate of Completion**. - Along with that, you will get lifetime access to the course material.

**Who Should Enroll?**

- Those who is a beginner in data science.

**Interested to Enroll?**

If yes, then check out the course details here- **The Data Science Course 2024: Complete Data Science Bootcamp**

**11**. **Business Analytics Specialization– Coursera**

**Provider-** University of Pennsylvania

**Rating- **4.5/5

**Time to Complete- **6 months ( 3 hours per week)

This Specialization program gives an introduction to big data analytics for all business professionals. You don’t need to have any prior experience in Data Analytics.

You will learn how to predict business decisions in various areas of marketing, human resources, finance, and operations.

This program is consists of 5 courses.

**Skills Gain-**

- Business Analytics
- Customer Analytics
- Predictive Analytics
- Regression Analysis
- Marketing Performance Measurement And Management
- Simulation
- Mathematical Optimization
- Performance Management
- Talent Management

**Courses include-**

This Specialization Program consists of 5 Courses-

**Customer Analytics****Operations Analytics****People Analytics****Accounting Analytics****Business Analytics Capstone**

**Extra Benefits-**

- You will earn a
**Shareable Certificate**. - Along with that, you will get
**Course Videos & Readings, Practice Quizzes, Graded Assignments with Peer Feedback, Graded Quizzes with Feedback, Graded Programming Assignments.**

**Who Should Enroll?**

- Who wants to get a deeper understanding of how big data and analytics are used. Especially in
**marketing (customer analytics), human resources, talent management (people analytics), operations, and finance**. - The one, who wants to create new business strategies using data analytics or wants to improve its own business.
- Who is Beginner and doesn’t have any prior knowledge or experience in business or analytics.

**Interested to Enroll?**

If yes, then check out all details here- **Business Analytics Specialization**

The next **Best Online Courses for Data Science** are-

**12. Data Engineering, Big Data, and Machine Learning on GCP Specialization– Coursera**

**Provider-** Google Cloud

**Rating-** 4.5/5

**Time to Complete- **2 months ( 12 hours per week)

This Specialization program offered by Google Cloud gives a hands-on introduction to designing and building data pipelines on the Google Cloud Platform. It is combined with **presentations, demos, and hands-on labs.**

**Skills Gain-**

- How to design and build data pipelines on the Google Cloud Platform?
- How to Lift and shift your existing Hadoop workloads to the Cloud using Cloud Dataproc.
- You will learn Process batch and streaming data.
- How to manage your data Pipelines with Data Fusion and Cloud Composer.
- You will learn how to derive business insights from extremely large datasets using Google BigQuery.

**Courses include-**

This Specialization Program consists of 5 Courses-

**Google Cloud Platform Big Data and Machine Learning Fundamentals****Modernizing Data Lakes and Data Warehouses with GCP****Building Batch Data Pipelines on GCP****Building Resilient Streaming Analytics Systems on GCP****Smart Analytics, Machine Learning, and AI on GCP**

**Extra Benefits-**

- You will earn a
**Shareable Certificate**. - Along with that, you will get

**Who Should Enroll?**

- Those who have
**Intermediate level**knowledge in Data Science.

**Interested to Enroll?**

If yes, then check out all details here-**Data Engineering, Big Data, and Machine Learning on GCP Specialization**

**13. Understanding Data Science– DataCamp**

**Provider- **DataCamp

**Rating- **4.8/5

**Time to Complete- **2 hours

Have you ever wondered about **data science**? In this course, you will learn why it’s fascinating and why some call it the best job of the 21st century—no coding needed! Explore different **data jobs**, try simple tasks like **A/B testing**, and discover how **data** helps you understand things like time patterns and predictions.

Learn how **data scientists** make sense of real-world info without getting too technical. No need to stress about fancy words—start learning, and you’ll pick up skills everyone can enjoy.

**Who Should Enroll?**

- Those who are a beginner in data science.

**Interested to Enroll?**

If yes, then check out the course details here- **Understanding Data Science**

**14. Introduction to Data Science in Python– DataCamp**

**Rating- **4.6/5

**Time to Complete- **4 hours

Even if you’ve never touched code before, you can follow this course and see the **magic of Python in action**. You will use data to solve the mystery of Bayes, the kidnapped Golden Retriever.

Along the way, you’ll get the hang of **basic Python tricks** and explore handy tools like Matplotlib for charts and pandas for tables. Don’t worry if coding is new to you—this course is all about you having fun and learning how to wield Python for Data Science

**Who Should Enroll?**

- Who is a beginner in data science.

**Interested to Enroll?**

If yes, then check out the course details here- **Introduction to Data Science in Python**

**15. Python Data Science Toolbox (Part 1)– DataCamp**

**Rating- **4.6/5

**Time to Complete- **3 hours

In this course, **you’ll learn** cool tricks to solve data problems using custom functions. **You’ll be able to** make your own functions that can handle lots of things, give back many answers, and even work with different amounts of info easily.

Find out how Python keeps things organized (they call it scoping), and discover the magic of writing quick **lambda functions**. Learn how to fix mistakes with style when creating functions.

At the end of each chapter, practice what you’ve learned by writing functions that dig into Twitter data.

**Who Should Enroll?**

- Those who have previous knowledge of Python.

**Interested to Enroll?**

If yes, then check out the course details here- **Python Data Science Toolbox (Part 1)**

**16**. **Python Certification Training for Data Science– Edureka**

**Provider**– Edureka

**Rating**– 4.6/5

This certification program allows you to learn Data Science using Python programming from scratch. This course will master you in various Python concepts like data operations, file operations, object-oriented programming,** and various Python libraries**.

**Skills Gain-**

You will learn the following-

- Introduction to Python
- Sequences and File Operations
- Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions
- Introduction to NumPy, Pandas, and Matplotlib
- Data Manipulation
- Introduction to Machine Learning with Python
- Supervised Learning – I
- Dimensionality Reduction
- Supervised Learning – II
- Unsupervised Learning
- Association Rules Mining and Recommendation Systems
- Reinforcement Learning
- Time Series Analysis
- Model Selection and Boosting

**Extra Benefits-**

- You will get
**Edureka’s Python for Data Science Professional Certificate**. - You will get lifetime access to the Learning Management System which has
**class presentations, quizzes, installation guides & class recordings.** - You will get lifetime access to our 24×7 online support.
- Along with that, you will get access to the
**global community forum.**

**Who Should Enroll?**

- Those who have a basic understanding of Computer Programming Languages.
- Those who are Programmers, Developers, Technical Leads, Architects.
- The developers who want to be a ‘Machine Learning Engineer’
- Business Analysts who want to understand Machine Learning (ML) Techniques

**Interested to Enroll?**

If yes, then check out here- **Python Certification Training for Data Science**

**17**. **Data Scientist Masters Program– Edureka**

**Provider**– Edureka

**Rating-** 4.4/5

This Data Scientist Masters Program includes training in **Statistics, Data Science, Python, Apache Spark & Scala, Tensorflow, and Tableau**.

It contains 12 courses.

This Masters’s Program will exactly make you a master because it covers almost every topic in Data Science.

**Courses Include-**

- Python Statistics for Data Science Course
- R Statistics for Data Science Course
- Data Science Certification Training
- Python Certification Training for Data Science
- Apache Spark and Scala Certification Training
- AI & Deep Learning with TensorFlow
- Tableau Training & Certification
- Data Science Master Program Capstone Project

Along with that, there are some **FREE** Elective Courses-

- SQL Essentials Training & Certification
- R Programming Certification Training
- Python Programming Certification Training
- Scala Essentials
- MongoDB® Training And Certification

**Extra Benefits-**

- You will get a
**Masters’s Course Certification**. - You will get lifetime access to
**presentations, quizzes, installation guides.** - Along with that, you will get a
**Personal Learning Manager**who will answer all your queries.

**Who Should Enroll?**

- Anyone can enroll whether you are an experienced professional working in the IT industry, or an aspirant planning to enter the world of Data scientists.

**Interested to Enroll?**

If yes, then check it out here- **Data Scientist Masters Program**

The last but not the least good online course for data science is-

**18**. **Career Path** **Data Science****– Codecademy**

This is another good course for Data Science. Let’s see what you will learn in that course-

**What Will You Learn in** **Career Path Data Science?**

- The Importance of Data and SQL Basics
- SQL: Basics
- SQL: Intermediate
- Go Off-Platform with SQL
- Analyze Real Data with SQL
- Python Functions and Logic
- Python Lists and Loops
- Advanced Python
- Python Cumulative Project
- Learn Data Analysis with Pandas
- Data Visualization
- Data Visualization Capstone Projects
- Learn Statistics with Python
- Learn Statistics with NumPy
- Hypothesis Testing with SciPy
- How to Clean Data with Python
- Data Analysis Capstone Projects
- Learn Web Scraping with Beautiful Soup
- Machine Learning: Supervised Learning with Cumulative Project
- Machine Learning: Unsupervised Learning with Cumulative Project
- Perceptrons and Neural Nets
- Machine Learning Capstone Project
- Natural Language Processing

**What Projects Will You build in** **Career Path Data Science?**

You will build two projects- **Sublime Limes and Honey Production.**

**Who Should Enroll?**

- Those who are a
**beginner**in Data Science Field. - Those who want to become a
**data scientist**or**data analyst.**

**Interested to Enroll?**

If yes, then check it out here- **Career Path Data Science**.

So, these are the **Best Online Courses for Data Science**, which will help you to become a skilled Data Scientist.

I would like to give some personal tips for learning Data Science.

**Personal Note**

The first tip I would like to give you is **Commitment** to the course. When you enroll yourself in any of these online courses, you should have the same commitment as a college course.

Another tip is, that whatever skills you will learn from an online course, immediately apply to a real-world project. Working on **real-world projects** will make your understanding stronger.

You can choose projects **here**.

**The reason for choosing these best online courses for data science for you is hands-on assignments and projects. The more you practice, the more you learn about Data Science.**

Now, let’s see the step-by-step Data Science Roadmap with Python Programming-

**Data Science Roadmap** **and Essential Skills**

A data scientist requires an in-depth knowledge of the **following skills-**

- Programming Skills
- Statistics or Probability
- Machine Learning
- Multivariate Calculus and Linear Algebra
- Data wrangling.
- Data Visualization.
- Database Management
- BigData

**Step 1- Learn Python First**

If you are a complete beginner and don’t have Python Programming knowledge, then first **learn Python**

**Step 2- Learn Math & Statistics**

To learn data science, you should have a good understanding of Statistics and mathematics.

**Step 3- Familiar with Python Libraries**

Now, you need to know how to deal with data. And for this, Python has a rich set of libraries to perform **data manipulation, analysis, and visualization.**

**Step 4- ****Brush Up on SQL Skills**

**Brush Up on SQL Skills**

You should know how to store and manage your data in a database. That’s why you should have an **understanding of SQL.**

**Step 5- Learn Machine Learning Algorithms**

At this step, you need to learn the basics of Machine Learning and the **Types of Machine Learning algorithms**(** Supervised, Unsupervised, Semi-Supervised, Reinforcement Learning**).

**Step 6- Build Your First Machine Learning Model with scikit-learn**

Now, you know how to perform **data manipulation, analysis, and visualization.** It’s time to predict something and find interesting patterns from the data.

**Step 7- ****Take Part in Data Science Competitions**

**Take Part in Data Science Competitions**

Now it’s time to practice and check your command in **Data Science.** The best way to practice is to take part in **competitions**.

For a more detailed

Data Science Roadmap,check this article-Data Science with Python Roadmap from Scratch

Now, it’s time to wrap up. I hope you found these best online courses for data science suitable for you.

**Conclusion**

Data Science is the most popular and vast field. To become a skilled Data Scientist, you will need to have various skills and in-depth knowledge.

These best online courses for data science will help you whether you are a beginner or you have intermediate-level knowledge.

I aim to provide you with the best resources for Learning. I hope you found this article helpful. If you have any doubts or questions, feel free to ask me in the comment section.

All the Best!

**FAQ**

**1. Is it possible to learn Data Science Online?**

Online classes are much more comfortable as compared to Offline Classes. In Online classes, there is no time limit. It’s totally up to you. Another benefit of Online Classes is you can watch the same video many times until the topic will be clear. This is not available to Offline Classes.

**2. Is the IBM data science certificate worth it?**

In short, yes definitely.

**3. What is the salary of a Data Scientist?**

A Data Scientist earns in the USA $ 113K/yr. Whereas, in India, A Data Scientist earns- INR 1,020K/yr

**4. Should I learn R or Python?**

Either learn Python, but it’s better to learn both.

**5. How do I start a data science career?**

These are some steps-

1. Choose a suitable role, like Data Analyst, Data Scientist, Data Engineer, etc.

2. Take any Course according to the role and complete it.

3. Choose a language in which you want to work.

4. Don’t focus on only theory, give preference to practical applications.

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## Though of the Day…

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‘It’s what you learn after you know it all that counts.’John Wooden

### Written By Aqsa Zafar

Founder of MLTUT, Machine Learning Ph.D. scholar at Dayananda Sagar University. Research on social media depression detection. Create tutorials on ML and data science for diverse applications. Passionate about sharing knowledge through website and social media.