Best Data Science Courses and Certifications (August 2022)

  • Post last modified:16 April 2022
  • Reading time:33 mins read

Are you interested in learning the third most popular technology? Then, You have come to the right place. Today, I will discuss the list of Best Data Science Courses and Certifications. It will give you a glimpse of how to become part of the trendiest field in the IT business.

As per the survey, Industries and companies require more than 5 million data scientists globally. During Pandemic, Companies have realized the need for data scientists more to uncover insights and business strategies. Take a look at the list and start your career in data science.

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8 Best Data Science Courses, Certifications Classes, Tutorials

Data Science Specialization by Johns Hopkins University [Coursera]

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.

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.

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 Coursera Free. It is a self-paced learning option and provides you with a shareable certificate after successful completion. There’s no right time to enrol in this Free Data Science Course and to enhance your skill power.

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

You can Sign up Here

The Data Science Course 2021: 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.

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. 

Key Highlights & USPs

  • 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?

It is one of the best data science courses online for beginners who want to start learning from scratch. Here, there’s no prior experience required for enrolling. You can go on a journey and turn it into a great career. Stop waiting for the perfect time and enroll now

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

You can Sign up Here

IBM Data Science Professional Certificate [Coursera]

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

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.

Key Highlights & USPs

  • Get an overview of what data science is today?

  • 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?

If you are passionate enough, this data science free online course with a certificate is the perfect choice for you. You don’t need to have 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.

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

You can Sign up Here

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.

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.

Key Highlights & USPs

  • 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?

It is an intermediate-level Python Course that requires at least some programming experience. It is one of the Best Python for Data Science Courses to get a rewarding career in Data science and machine learning. You will earn a certificate of completion that can be shared and used to showcase your expertise.

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

You can Sign up Here

Applied Data Science with Python Specialization [Coursera]

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.

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.

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?

The University of Michigan prepared this Data Science 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 and Tutorials before enrolling in this.

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

You can Sign up Here

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.

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.

Key Highlights & USPs

  • 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?

Any person is eligible for this Data Science Course Syllabus If one is eager to learn machine learning. You can take it without having any prior experience in coding or machine learning. Having knowledge of R or Python for Data Science would be beneficial. Not familiar with R, you can check the list of Best R for Data Science Courses

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

You can Sign up Here

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.

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.

Key Highlights & USPs

  • How to load and clean for analyzing real-world data.

  • Make reliable statistical inferences from noisy data.

  • 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?

It is one of the top-rated data science online programs 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.

Rating: 4.5/5
Students Enrolled:

Duration: 10 months, 11 hours/week

You can Sign up Here

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.

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.

Key Highlights & USPs

  • 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?

You should be familiar with college-level calculus and comfortable with Python programming to excel in this best data science certification online. This Micromaster program brings a high-quality curriculum and hands-on approach for learners from worldwide. You will receive the program certificate after completing four required courses and passing a virtually- proctored exam. You can go for an advanced degree after becoming a verified data scientist

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

You can Sign up Here

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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