9 Best Data Science Courses Online & Certification (July 2024)

  • Post last modified:10 August 2023
  • Reading time:56 mins read
  • Post category:Best Online Course
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According to the survey, industries and companies need more than 5 million data scientists globally. In the last two years, companies have become more reliant on data scientists to uncover insights and business strategies. Data science can help organizations gain new insights from trillions of data, just by asking the right questions. If this hot technology sounds interesting to you, read further to find out the most effective data science courses to advance your career.

Why learn Data Science?

Data Science is a multidisciplinary approach to extract insightful data for making informed decisions in business. It is the hottest field to learn and build a career for several reasons. 

 According to U.S Bureau of Labor Statistics, Data scientists’ employment is expected to increase by 36% between 2021 and 2031, which is substantially faster than the average for all occupations. There are expected to be 13,500 job openings for data scientists by each passing year. Many of those positions are anticipated to be brought on by the need to replace workers who change careers or leave the workforce due to retirement.

The average salary of a data scientist is $124, 853 per annum as per Glassdoor.com.

Becoming a data scientist can help you earn more and set up a successful career in a rewarding field. So, scroll down to look for the Best Data Science Courses and Certifications to help you start your journey in data science. 

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Best Data Science Courses, Certification, Tutorials, Training, Classes Online

Data Science Specialization by Johns Hopkins University [Coursera]

Data Science Specialization

Launch your successful career with this Data Science Specialization. It will introduce the fundamentals of data science and the development of applications. It is designed to present you with a series of data questions and tools that data scientists use. You will also get the chance to learn R programming and use R for data analysis effectively. Get the complete guide to understand key aspects of Data Science.

Course Instructor

Jeff Leek, Roger D. Peng, and Brian Caffo are the data science experts who prepared this Data Science Coursera Program to teach the cutting-edge technology of the IT world. It will help you in mastering the art of Data Science and apply them to building a data product using real-world data. Prepare a strong portfolio with this 10-course specialization from anywhere and anytime.

What You’ll Learn

This Coursera Data Science Certificate Program is divided into 10 courses, which are developed and taught by leading professors. 

  1. The Data Scientist’s Toolbox: This course will introduce the main tools and ideas in the data scientist’s toolbox. You will get an overview of how data analysts and data scientists use tools in the program such as version control, markdown, git, GitHub, R, and RStudio.

  2. R Programming: In this course, you will understand the fundamentals of R programming for data analysis.

  3. Getting and Cleaning Data: This course will discuss how to obtain data in various formats and understand data cleaning basics.

  4. Exploratory Data Analysis: This course covers essential exploratory techniques to eliminate and sharpen datasets.

  5. Reproducible Research: This course focuses on reproducible research for data analysis. A reproducible analysis allows people to concentrate on the content of the analysis rather than superficial details.

  6. Statistical Inference: In this course, instructors will teach statistical inference – a  process of concluding scientific truths from data. You will get to work with statistical inference for analyzing data to make informed decisions.

  7. Regression Models: This class is all about regression models, as the most critical statistical analysis tool in a data scientist’s toolkit. ANOVA and ANCOVA will be discussed as well.

  8. Practical Machine Learning: Build and apply prediction functions to practical applications using the fundamentals. T

  9. Developing Data Products: The fundamentals of using interactive graphs, R packages, and Shiny to create data products are covered in this course.

  10. Capstone Project on Data Science: The capstone project class is the best way to practice skills on real-world problems and create a public data product that showcases skills to potential employers. 

Pros & Cons

Pros

  • Learn from the best experts
  • Certificate on Completion
  • Financial Aid Available

Cons

  • Limited access to resources in free enrollment

Key Highlights & USPs

  • A practical introduction to the data scientist’s toolbox.

  • Learn to install and configure software necessary for statistical computing and using R programming for data analysis.

  • Get a basic understanding of collecting data, cleaning data, and sharing the data. How to use exploratory techniques for summarizing the data.

  • Understand the statistical inference and use this information to make informed choices in analyzing the data.

  • Know how to perform regression analysis, least squares, and inference using regression models.

  • Create data products using R packages and interactive graphics.

  • Work on the capstone project to show the skills and solve real-world problems.

Who is it for?

Before enrolling, you should have Python programming knowledge and familiarity with regression for attending the Data Science course. It is a self-paced learning option and provides you with a shareable certificate after successful completion. By completing this specialization, you will be able to launch your career in data science and attract high-paying jobs.

Rating: 4.5/5
Students Enrolled: 445,149
Duration: 11 months, 7 hours/week

IBM Data Science Professional Certificate [Coursera]

Data Science Course IBM

IBM has launched a Professional Data Science Certificate for students. You will learn the fundamentals of data science and machine learning with proper guidance. It will improve your data science, Python, and SQL Skills. You get a chance to create machine learning models and use them for analyzing & visualizing data. You will learn about the most popular tools such as Jupyter Notebooks, Juyterlab, Rstudio IDE, Git, Github, and Watson Studio.

Course Instructor

IBM instructors and experts from Coursera have prepared this IBM Data Science Course Coursera. It will provide you with the latest jobs and skills. You will start by learning the basic concepts of Data Science to advance topics.

What You’ll Learn

This IBM Professional Data Science Program is the complete package with 10 Courses that focuses on data science, data analysis, and Machine Learning. 

  1. What is Data Science: This course is all about introduction of data science and its application in various industries. It will describe different paths to start your career in data science.

  2. Tools for Data Science: This course of the specialization will give an overview of the Data Scientist toolkit, which consist of libraries, packages, datasets, big data tools, and machine learning models.

  3. Data Science Methodology: In this class, you will learn the methodology of data science. Next, you will understand how to implement 6 stages in the CRISP-DM methodology.

  4. Python for Data Science, AI, and Development: Start this course by understanding Python basics and how to implement programming logic. You can build proficiency in applying Python libraries. 

  5. Python Project for Data Science: This project allows you to demonstrate your skills in Python and create your own dashboard using libraries such as Pandas, Beautiful Soup, and Plotly. 

  6. Databases and SQL using Python: This Data Science Python Course focuses on analyzing data using SQL and Python. You will create a relational database on Cloud and be able to write SQL statements.

  7. Python for Data Analysis: This course is designed to teach writing Python programs for data analysis. You will develop knowledge about exploratory data analysis using Python libraries.

  8. Data Visualization with Python: Discover ways to implement data visualization techniques and plots with Python libraries.
     
  9. Machine Learning with Python: This cover will give an overview of types of machine learning algorithms and how to write Python code for classification techniques.

  10. Applied Data Science Capstone: By completing this project, you can develop proficiency in data science and machine learning.

Pros & Cons

Pros

  • Earn an IBM badge after completion
  • Certificate on Completion
  • Financial Aid Available

Cons

  • Paid Certificate

Key Highlights & USPs

  • Learn about the data science tools and programming skills for analyzing the data.

  • Build a solid understanding of data science methodology to tackle real-world problems.

  • Grasp all the Python basics for Data Science and Artificial Intelligence Development.

  • Understand how Databases and SQL are used for handling data and work along with Python programming.

  • Prepare you for data analysis using Python and explore types of data.

  • Develop hands-on skills using tools, languages, and Python libraries used by Professional data scientists.

Who is it for?

You should take this online data science certificate if you are passionate about it. There is no need for prior knowledge of Computer Science or programming experience. It brings out your potential to have a competitive edge in the job market and get an entry-level position in the reputed organizations.

Rating: 4.6/5
Students Enrolled: 64,080
Duration: 11 months, 3 hours per week

Applied Data Science with Python Specialization [Coursera]

Data Science Course University of Michigan

This Data Science with Python Specialization introduces the learners to how to use data science using Python programming. It consists of five courses to teach you how to implement statistical, text analysis, information visualization, and social network analysis techniques. You will learn about popular Python toolkits such as Scikit-Learn, Panda, Matplotlib, and others to scrape data from sites and visualize them to get insights. The University of Michigan will take you from beginning to advanced chapters of Applied Data Science.

Course Instructor

Christopher Brooks and other 3+ instructors created this Applied Data Science with Python Specialization students to gain deep knowledge and apply data science methods. You need to cover all five courses to become an expert.

What You’ll Learn

Python programming will be taught in five courses in this University of Michigan specialization.

  1. Introduction to Data Science in Python: In this module, students will cover basic principles of using Python pandas data science library to manipulate and clean data.

  2. Applied Plotting, Charting, and Data Representation in Python: The features of both good and bad visualization will be covered in this course.

  3. Machine Learning in Python: In this course, the distinctions between machine learning and descriptive statistics will be discussed.

  4. Text Mining in Python: In this course, you will learn the basics of natural language processing and how Python handles text.

  5. Applied Social Network Analysis in Python: The NetworkX library will be used to represent and manipulate networked data in this course. 

Pros & Cons

Pros

  • Practical projects
  • Certificate on Completion
  • Financial Aid Available

Cons

  • Paid Certificates

Key Highlights & USPs

  • Learn Python programming techniques such as Lambdas, data manipulation, and cleaning data to get statistical analyses.

  • Know how to apply the plotting, charting, and data representation in Python.

  • Develop knowledge of how to improve data analysis strategies with applied machine learning methods.

  • How to handle text mining and text manipulation using the NLTK framework.

  • Understand how the Networkx library is used for social network analysis and explore the connectivity of networks.

  • Able to perform on hands-on projects after completing each course.

Who is it for?

This Data Science with Python Course for professionals with experience in Python and data science. It is an intermediate-level course for business analysts, data scientists, business intelligence, and Python developers. You can also check the list of best python courses before enrolling in this.

Rating: 4.5/5
Students Enrolled: 297,308
Duration: 5 months

Data Science MicroMasters Certification by UC SanDiego [edX]

This Micromasters program in Data Science will help students to excel in data science. You will understand how to get data insights from information, manipulate data sets, and visualize them to find a pattern. It is prepared to develop a foundational knowledge of mathematical and computational. That further will get used for data-driven business recommendations.

Course Instructor

The instructor from UC San Diego will introduce this Data Science Certification. They are committed to teaching you all the courses, including Python, mathematical techniques, machine learning fundamentals, and data analysis.

Pros & Cons

Pros

  • Graduate-level certificate program
  • Certificate on Completion

Cons

  • Costly

Key Highlights & USPs

  • This edX Micromaster Data Science Program has 4 graduate-level courses to excel in data science. 
    • Python for Data Science 
    • Probability and Statistics in Data Science using Python
    • Machine Learning Fundamentals
    • Big Data Analytics using Spark

  • Learn how to load and clean for analyzing real-world data and make reliable statistical inferences from noisy data.

  • Build knowledge about how to use machine learning to build models for data analysis.

  • Learn about data visualization and use it for finding valuable insights from complex data.

  • How to use Apache Spark to analyze data that can’t fit in the memory of a computer.

  • Free full lifetime to video lectures, downloadable resources, and study material.

Who is it for?

The data science program is for professionals or beginners to pursue data science. You get the chance to build your career and meet the top instructor from the University of California.  In the end, you will earn a Micromaster program Certificate from edX to verify your skill acquired here. By completing this training program, you can combine with expertise for any type of business and make yourself a desirable employee.

Rating: 4.5/5
Students Enrolled:
Duration: 10 months, 11 hours/week

MIT Data Science and Statistics Certificate [edX]

This Data Science Certification Online Course introduces you to the most demanding cutting-edge technologies like machine learning, data analysis, and data science. You will solve complex challenges and drive data to make better decisions.  It comprises four online courses related to data science and statistics. You will build essential knowledge of methods and tools used in data science.

Course Instructor

This MIT Data Science and Statistics Certificate is taught by instructors with years of experience in computer science. They will give you sophisticated and rigorous training in data science. You will be able to get a job with no compromise in the quality of education you’ve acquired.

Pros & Cons

Pros

  • High-quality and rigorous curriculum
  • Designed by MIT faculty
  • Certificate on Completion

Cons

  • Lengthy Duration

Key Highlights & USPs

  • This edX Statistics and Data Science Program offers in-depth knowledge in 5 graduate-level courses, including:
    • Probability
    • Fundamental of Statistics
    • Machine Learning with Python
    • Capstone exam in Statistics and Data Science
    • Data Analysis in Statistical Modeling

  • Master the data science skills, statistical methods, and machine learning algorithms.

  • How to analyze data for making data-driven predictions using probabilistic modeling and statistical inference.

  • Build machine learning algorithms to extract meaningful information.

  • Learn about unsupervised and supervised learning methods.

  • In the end, get the chance to check what you’ve learned by completing assignments and passing exams.

Who is it for?

Data science training is designed for professionals who do not want to give up their day jobs for extensive training in the data science field. You should be familiar with college-level calculus and comfortable with Python programming to excel in this data science certification online.

Rating: 4.4/5
Students Enrolled:
Duration: 1 year and 2 months, 14 hours/ week

The Data Science Course: Complete Data Science Bootcamp [Udemy]

Udemy brings you a step-by-step guide in the form of the Data Science Bootcamp.  With this, you can upgrade your career to the next level. It provides you with digital, programming-oriented, and analytical training. You will learn data science in an effective manner. It focuses mainly on topics like big data, statistics, business analytics, machine learning, and Python programming.

Course Instructor

365 Career Team, creator of this Data Science Udemy Course, offers a proper training process and lessons in order.  You will get full technical support from experienced instructors. It greatly enhances your knowledge. In the end, you become capable of solving real-world business cases using high-tech. 

Pros & Cons

Pros

  • Enjoy access to exercises and quizzes
  • Bestseller course on Udemy
  • Certificate on Completion

Cons

  •  Familiarity with Python libraries

Key Highlights & USPs

  • This Udemy Data Science Training Bootcamp includes 65 sections and 517 video lectures to become a professional in data science.

  • Able to perform linear and logistic regressions in Python

  • Create machine learning algorithms in Python libraries such as Numpy and Scikit-learn.

  • How to use deep learning frameworks such as Google’s Tensorflow for business.

  • Learn how to pre-process data using Python programming and analysis.

  • Write codes in Python and use it for statistical analysis.

  • Train to unfold the power of deep neural networks.

  • Unlimited access to 30 hours of video sessions, 90 articles, and 502 downloadable resources.

Who is it for?

For those who want to learn data science from the ground up, this is the best online data science tutorial for beginners.This program solves the biggest challenge to entering the data science field – having all the necessary resources in one place. As a result of this course, you will become a data scientist at a fraction of the cost of traditional programs.

Rating: 4.6/5
Students Enrolled: 438,987
Duration: 30 hours

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Python for Data Science and Machine Learning Bootcamp [Udemy]

Udemy Data Science Python Course teaches you to use Python libraries such as Pandas, Seaborn, Numpy, Scikit-Learn, TensorFlow, and more. You will learn about the general-purpose programming language and its use in analyzing data, creating a visualization, and writing algorithms for machine learning. This Data Science Tutorial course covers all the topics to get a deep knowledge of how data science and machine learning use Python to solve the world’s problems.

Course Instructor

Jose Portilla is the author and instructor who included each piece of information to enhance your knowledge. It is packed with hundreds of HD video lectures and detailed code notebooks for every lecture. This Comprehensive Data Science Course Online has both beginner and intermediate-level courses to learn how Data Science works.

Pros & Cons

Pros

  • Comprehensive and useful content
  • Dedicated and excellent instructor
  • Certificate on Completion
  • Financial Aid Available

Cons

  • No free audit

Key Highlights & USPs

  • This Udemy Python for Data Science Bootcamp included 27 sections with 165 video lectures to explore the important topics of data science and Machine Learning using Python.

  • Learn to use Pandas for Data Analysis and Seaborn for statistical plots.

  • Develop an understanding of machine learning fundamentals such as logistic regression, neural networks, linear regressions, and so on.

  • Learn How to use Scikit-Learn for machine learning tasks.

  • Use Python’s libraries like Matplotlib and Seaborn for Data Visualization.

  • Create in-built interactive and dynamic visualization to visualize patterns in datasets.

  • Understand Natural Language Processing and Spam filters to work with machine learning models.

  • Get full lifetime access to 25 hours of on-demand video, 13 articles, and five downloadable resources.

Who is it for?

This Python for Data Science Course  will help you to build a rewarding career in Data science and machine learning. You will earn a certificate of completion that can be shared to showcase your expertise. By the end, you can use the power of Python to analyze data, produce stunning visualizations, and employ potent machine learning algorithms.

Rating: 4.6/5
Students Enrolled: 475, 119
Duration: 25 hours

Machine Learning A-Z™: Hands-On Python & R In Data Science [Udemy]

Kickstart your career by learning Python and R programming for Data Science.  This Best Data Science Course Online will teach you machine learning and data science concepts step-by-step.  You can learn complex theory, algorithms, and coding libraries in an effective manner.  It is packed with practical exercises to apply Python and R programming.

Course Instructor

Hadelin de and Kirill Eremenko designed this Machine learning and Data Science Course. It will reduce the gap for students to participate in the world of data science. It improves your practical knowledge by providing hands-on projects.

Pros & Cons

Pros

  • Access to downloadable resources and articles
  • Well-structure curriculum
  • Certificate on Completion

Cons

  • No free auditing

Key Highlights & USPs

  • This Udemy Machine Learning and Data Science Course has 46 parts and 382 video lectures, which is enough knowledge to construct machine learning algorithms in Python and R.

  • Learn to make accurate predictions using machine learning and R programming.

  • Able to build an army of machine learning models and combine them for solving problems.

  • How to handle advanced techniques like dimensionality Reduction.

  • Cover specific topics like reinforcement Learning, NLP, and Deep Learning.

  • Make powerful data analysis using Python and R Programming.

  • Get lifetime access to 44 hours of on-demand video, 73 articles, and 38 downloadable resources.

Who is it for?

If a person is keen to master machine learning, they can enroll in this data science course. For data science, having some knowledge of R or Python would be helpful. After successful completion, you will enhance your knowledge that can help you land a job as a data scientist. If you are not familiar with R programming language, you might look at the list of the Best R for Data Science Courses.

Rating: 4.5/5
Students Enrolled: 818,760
Duration: 45 hours

The Online Data Science Bootcamp [OdinSchool]

OdinSchool’s 6-month, project-based, hands-on Data Science Bootcamp is for anyone who wants to establish themselves in the field of Data Science. The outcome of the Bootcamp is a Data Science job; the company partners with over 250 organizations to place their graduates. This advanced Bootcamp comes with weekly live interactive sessions with instructors and thought leaders.

Course Instructor

The classes are flexible so even working professionals can fit their commitments around the Bootcamp’s learning schedules. OdinSchool has a proven track record of placing both freshers and working professionals at top companies and helping professionals from non-technical backgrounds switch to Data Science.

Key Highlights & USPs

  • Weekly live interactive classes

  • Dynamic industry-vetted curriculum

  • Personalized mentorship with instructors and industry experts

  • Engagement in 7 Portfolio-worthy Data Science projects

  • 360° Placement Assistance

  • Unlimited interview opportunities

  • Partnership with 250+ companies for hiring

  • Money-back guarantee (if you find the Bootcamp unsatisfactory within the first 10 days)

Who is it for?

This online Data Science Bootcamp course is ideal for both freshers and working professionals. As the curriculum starts from scratch, it is also suitable for Data Science aspirants who do not have prior technical experience.

Rating: 4.7/5
Duration: 6 months live classes | 500+ hours

Hopefully, this article helped you with the information and answered your doubts. The compiled list might provide you with the most suitable course that fulfils the career requirements. It’s never too late to switch your career. If you want to learn about machine learning, artificial intelligence, or data analysis, check out published articles on Geektonight

FAQ

What Qualifications do I need to study data science?

Data Scientists are analytical people who are skilled in analyzing and handling data. For that, any person needs to have at least a bachelor’s degree in computer science. Here, there is no need to have coding experience. Although, most data science courses will require a master’s degree. However, this comprehensive list is for everyone with no prerequisites.

Is Data Science Hard?

Due to technical requirements for data science jobs, it is more challenging to learn data science in one go. As a data scientist, you should know languages like Python, R and SQL, and applications to handle data. It takes a lot of time to get a firm grasp of the methods and tools of data science. There is one of the reasons behind the shortage of data science professionals. That’s why they are in huge demand.

Is data science a good career?

Data Science has become the most promising career with high job growth and pay scale. There’s 50% growth in data analytics and data science job openings. After the Pandemic, Organizations have switched to data science for data-driven decision making.

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