Open Source Trends Best 20 Data Science Courses Available For Increasing Your Data Scientist Skills

Best 20 Data Science Courses Available For Increasing Your Data Scientist Skills

It’s been some time since data science took the world by storm and continues to top among best paying Computer Science jobs. Moreover, the low number of genuinely skilled data scientists is making the demand go even higher. This, however, has opened newer possibilities for many CS graduates who want to establish a successful career in computer science. Given you enroll in the right data science courses and are determined enough to get through them, you too can bag a lucrative data scientist position in even the biggest corporations. Below, we’ve prepared a list of 20 great data science programs that can help you do so.

20 Data Science Courses You Can Take Right Now


Since a significant number of topics fall under the domain of data science, our experts tried their best to choose the best data science online course for the key topics. In no way, this guide assumes that you’ll learn every ins and outs of data science from just these courses. They are here merely to kickstart your journey into this fantastic field.

1. Machine Learning A-Z™: Hands-On Python & R In Data Science


Termed as the best data science online course by many, this is one of those courses you can not miss. Offered by Udemy, this data science course empowers students with a real-world scenario of data science and provides powerful tools to delve even deeper into the field. The hands-on approach taken by this course helps beginners understand many of the underlying concepts and their usage in the industry.

Highlights of this course

  • It makes students implement various Machine Learning algorithms in Python and R, thus strengthening their programming language skills.
  • Apart from making pristine predictions, students will also learn advanced data science techniques such as dimensionality reduction from this data science training.
  • The powerful Machine Learning models that students will learn from this program will solidify their data science knowledge to a new level.

Get it here

2. Python for Data Science and Machine Learning Bootcamp


The pinnacle of modern data science courses, this course deals with a number of tools including NumPy, Pandas, Seaborn, Matplotlib, Scikit-Learn, and Tensorflow to increase your data science skills at a practical level. Taken by over two hundred thousand students worldwide, this is among those data analytics courses that introduce students with powerful big data analysis techniques in real-time.

Highlights of this course

  • It helps students learn and master the ins and outs of data science tools that are used heavily in the industry.
  • This course leverages the Python programming language for analyzing business data.
  • It deals with advanced Machine Learning techniques like Regression, Random Forest and Decision Trees, Neural Networks, Natural Language Processing, and Support Vector Machines.
  • This course also helps the students master data analytics algorithms that are incorporated into professional business solutions.

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3. Data Science A-Z™: Real-Life Data Science Exercises Included


If looking for robust data science programs that will enable you to learn real-world data analytics, then this course is here for you. As the name of the course suggests, it deals with all the essential things you need to know about big data training in a merely 21 hours long course. You’ll learn precisely how real-world data science problems arise and are handled from this carefully designed course.

Highlights of this course

  • It analyzes complex data science problems with examples so that students can learn by doing things.
  • This powerful data science training enables users to perform data mining in Tableau and creating basic Tableau visualizations.
  • It allows students to create data querying scripts in SQL and apply them in their own projects.
  • This big data training builds a strong base for real-world data science models.

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4. Machine Learning, Data Science and Deep Learning with Python


This is a compelling data science online course that provides students with a hands-on approach to Data Science, ML, and Deep Learning. The 12 hour long course is designed in a way that even students with little or no prior data science knowledge can take this course without any trouble. Overall, this is an excellent intro to the fantastic world of data science and makes learning this large field much easier for beginning data scientists.

Highlights of this course

  • This course helps students in leveraging the Python language for real-world data science problems.
  • It discusses the fundamentals of probability and statistics for futuristic data science solutions in a smart way.
  • This big data training course is one of the few that shows how to utilize the Apache Spark framework for Big Data.
  • This course also makes students build robust Neural Networks with Keras and Tensorflow.

Get it here

5. R Programming A-Z™: R For Data Science With Real Exercises!


R is a widely used programming language in the field of data analytics. A competitive insight into how R handles real-world data science problems is a must for people who want to excel in their data science career. This course focuses entirely on R for solving traditional and futuristic big data problems. It doesn’t dive too deep into the world of data science though. Instead, it gives a basic idea of the core concepts and shows how R can be used to overcome the problems.

Highlights of this course

  • It teaches all the mandatory R concepts you’ll be using as a data scientist and familiarizes users with the R studio.
  • You’ll learn how to customize the R studio according to your preferences.
  • This course equips students with a working knowledge f statistical data analysis in R.

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6. Data Science Specialization Offered by Coursera


This is one of the most compelling data science courses you can take right now that will take your big data analytics skills to a whole new dimension. It covers almost every fundamental concepts you’ll need to handle practical big data and discusses the tools required to process them and reaching a solution. Contrary to other data analytics courses, this will take much time to complete due to its massive contents.

Highlights of this course

  • From data acquisition to modeling, you’ll learn the entirety of data science concepts from this course.
  • It will help users to master GitHub and use it for potential data science projects.
  • This course utilizes the R programming language to clean, analyze, and concisely visualizing data.
  • The hands-on project included with his course makes sure you understand the concepts clearly and can solve complex real-world problems on your own.

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7. Data Science Essentials by Microsoft on edX


A part of Microsoft’s Professional Data Science Certification Program, this course offers a brief intro to the essential data science concepts. This course provides a powerful mean of learning the fundamental data science principles and is prepared to meet the increasing demand for quality data scientists. It teaches the fundamental concepts of Data Science like data acquisition, preparation, exploration, and visualization in a realistic way.

Highlights of this course

  • This course provides students with the practical implementation skills required to work with Python and R.
  • The hands-on approach taken by this course is curated to fit real-world situations.
  • Students will be familiarized with the Microsoft Azure Machine Learning platform and the Azure Stack.
  • It discusses the usage of probability and statistics in data science from a practical perspective.

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8. Intro to Machine Learning by Udacity


If among different data science sub-disciplines you’re particularly interested in Machine Learning, then this course might worth your time. Offered by Udacity, this course provides a thorough knowledge of different Machine Learning principles and how they’re implemented in the business world. It’s a massively popular course on Machine Learning that offers not only real-life examples but also makes sure the contents stay related to the industry.

Highlights of this course

  • It is taught by professionals with vast experience on the field who make sure the contents are of really high-quality.
  • This Machine Learning online course teaches students the end-to-end process of investigating massive datasets with powerful ML tools.
  • Students will learn to evaluate the performance of their Machine Learning algorithms from this course.
  • This course is suited to data analytics experts who want a quick experience of various Machine Learning techniques.

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9. Data Science Foundations


The epitome of top quality data science courses, this is a compelling package curated especially for aspiring data scientists looking for rich contents with plenty of practical problems to play with. The course is aimed at beginners with little or no previous experience in Machine Learning. If you’re looking for a short but compelling machine learning course to supplement your existing data science skills, our experts highly recommend this course.

Highlights of this course

  • This beginner-friendly course lays out an adequate learning flow for aspiring data scientists.
  • The entire course is divided into three parts each discussing a specific niche.
  • It introduces students with widely used data science tools such as Jupyter Notebooks, RStudio IDE, Apache Zeppelin, IBM Watson Studio, and others.
  • It presents the fundamental concepts of data science enthusiastically to students with little or no knowledge about the field.

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10. Learn Data Science from DATAQUEST


This is arguably amongst most innovative data science courses for modern data science students. Contrary to most popular data science programs, this course is presented interactively. Students need to complete “mission” inside DATAQUEST’s synergistic web app for completing a particular course. The choice of topics is diverse, and core concepts are presented in a playful yet effective way.

Highlights of this course

  • The interactive web view encourages students to learn more about crucial concepts by forcing them to go more.
  • This data science online course teaches Python, R, SQL, data visualization, data analysis, and machine learning in a very effective manner.
  • DATAQUEST is trusted by corporations like UBER, Spotify, and Amazon plus institutions like HARVARD.
  • Students will be writing their own code while working with real-world data sets with this rewarding course.

Get it here

11. Genomic Data Science Specialization on Coursera


If you’re particularly interested in Genomic Data Science, then this course will steer up your interest even more. This advanced data science course is offered by Johns Hopkins University and is available through Coursera. The whole specialization is broken down into eight different courses that each deal with some specific concepts and tools. Among such notable tools, the command line, Python, R, Bioconductor, and Galaxy is of particular significance.

Highlights of this course

  • The course is curated in a hands-on projects manner which helps students master the data science principles they learn by practicing.
  • It discusses the most common algorithms used in DNA sequencing and helps students analyze them creatively.
  • The course also touches onto statistical problems that arise in Genomic data science projects frequently and suggests ways to avoid them.
  • It helps students learn and master tools from the Bioconductor project to analyze Genomic data properly.

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12. Introduction to Computational Thinking and Data Science


This is a great data science training course taught by MIT that equips students with real-world data scientist skills. Designed for people with little to no prior programming experience, it leverages Python to implement compulsory data science techniques. After completing this compelling course, you’ll have a strong understanding of the core concepts of the field and will be comfortable enough to take on real-life data science projects.

Highlights of this course

  • The course is designed cleverly and offers an excellent introduction of the field before delving deep into advanced principles.
  • Each of the five problem set requires students to solve programming problems in Python, thus strengthening their Python skills.
  • The required course materials including slides, files, and videos are freely available for download.
  • This course emphasizes practical problem solving rather than memorizing algorithms.

Get it here

13. Big Data Integration and Processing by UC San Diego


It is one of the most compelling big data training programs to deal with Big Data analysis in-depth. Offered through Coursera, this modern-day data science training aim to provide students with the knowledge and tools required in the analysis and processing of real business data. This is a beginner-friendly course that can be taken by students with little or no past knowledge of big data analysis techniques.

Highlights of this course

  • This course walks the students through retrieving and storing big datasets from industrial data management systems.
  • It leverages the Hadoop and Apache Spark platforms to integrate and process big data.
  • Provides the necessary knowledge required to handle real-world big data problems in a feasible way.
  • The assignments are quite hard and require critical thinking to solve.

Get it here

14. Introduction to Data Science Bootcamp by Metis


It is a rewarding data science online course which equips students with the essential data science skills required for tackling real-world, data-rich business problems. The entire program is curated in a productive way and allows students to obtain principle data science skills by solving problems. It also discusses the basics of statistics and other mathematical foundations that are often utilized in practical data science problems.

Highlights of this course

  • It provides a clear understanding of data acquisition, cleansing, and aggregation in real-world contexts.
  • This course encourages students to explore different data analytics techniques and visualization principles.
  • The authors have explained even advanced topics in a concise and straightforward manner, making many concepts more transparent.
  • Students will learn how to model big data for practical business solutions effectively from this course.

Get it here

15. CS109 Data Science Course from HARVARD


The CS109 Data Science is one of those few data science courses that provide students with almost everything they need to take their data science ability to a professional level. The course is very detailed and covers a lot of data science principles in a single package. The core data science concepts discussed by this course include Probability, Distributions, Frequentist Statistics, Regression, Machine Learning, Bayesian Methods, Interactive Visualization, and many more!

Highlights of this course

  • All the lectures of this data science training program come with slides and high-quality videos with subtitles.
  • This course utilizes a plethora of data science tools including Pandas, Python, Jupyter Notebook, VirtualBox, AWS, Spark, and MapReduce
  • The source codes for each problem’s solution is hosted on Github for exploration by interested students.
  • Due to its opensource nature, the course and materials can be used by anyone anytime.

Get it here

16. Statistics and Data Science on edX


One of the most modern-day data science courses that dive deeper into statistical analysis, this course from MITx is a real gem to aspiring data scientists due to its ability to empower students with practical data science skills. The course, due to its massive contents, is broken up into five different parts. It equips students with advanced knowledge of the field and shows them how to solve them at industrial levels.

Highlights of this course

  • The course covers a lot of ground, from fundamental uncertainty to advanced statistical models used for business solutions.
  • It helps the students master the different methods for harnessing and analyzing data in real-world scenarios.
  • This is among those few data analytics courses that discuss advanced statistical analysis techniques like statistical inference alongside fundamental concepts.
  • The course also provides an in-depth intro to various Machine Learning techniques including Regression, Decision Trees, K Forests, SVM, and Bayesian Networks.

Get it here

17. Learning From Data by Caltech


This is a noteworthy data science training course that not only offers a brief intro to common data science problems but provides powerful ideas to overcome them. The free course can be taken by anyone according to their personal schedule and will still prove to be a viable resource. Although friendly to beginners, this course assumes a little familiarity with basic probability, matrices, and calculus.

Highlights of this course

  • The course provides a concise description of the major data science and machine learning theories, algorithms, and applications.
  • It comes with a topic by topic video lectures so that students can review the concepts on their own time.
  • The homework problems are quite hard to crack without proper critical thinking and assertions.
  • A final exam determines whether you were able to understand the fundamental concepts clearly.

Get it here

18. Applied Data Science with Python Specialization


If you’re an aspiring data scientist looking for free yet content-rich data analytics courses, then we’d definitely recommend you check out this course. The course discusses innovative ways of solving real-life business problems that deal with large amounts of data and needs to be catered according to the diverse requirements of the industry. Offered by Michigan University, this is a noteworthy data science course that can cater to your increasing data science demands.

Highlights of this course

  • This course introduces the most critical concepts of data science to students with real-world problems which mostly involves the Python programming language.
  • The knowledge students acquire from this massive data science online course can be applied to statistical analysis, machine learning, information visualization, text analysis, and social network analysis.
  • It aims to enhance your data analysis skills by incorporating modern-day machine learning techniques and tools.

Get it here

19. R Programming


R Programming is a specialized data science program offered by Johns Hopkins University and provides students with a detailed knowledge of the language. Contrary to its heavy usage in the data science field, the number of quality materials to learn it is quite short when compared to languages like Python and SQL. This course aims to rid this problem and provide aspiring data scientists with a compelling platform for learning R.

Highlights of this course

  • You will learn how to install necessary programs and configure the environment for programming with R in this course.
  • It covers a lot of ground, from basic R concepts to advanced usage of R in big data analytics.
  • Students will learn to debug R programs effectively from this programming course.
  • This course also teaches how to simulate business data in R and to profile them effectively.

Get it here

20. Mastering Data Analysis in Excel


This is among the most popular data analytics courses that deal with analyzing large-scale business data in Excel. It allows students to design and implement realistic predictive models based on Excel data that can be used directly in real-world projects. The course also comes with all the data students require to complete and practice the course.

Highlights of this course

  • This is an excellent course for learning data analysis within a short period.
  • It equips enough Excel knowledge so that students can design their own data analysis models.
  • This is among those data science courses that feature advanced data analytics techniques like binary classification, regression, information theory, and entropy measures.

Get it here

Ending Thoughts


When deciding on what data science courses to take, you need to evaluate your requirements first. Since specialization courses usually take extra time to complete, students with prior knowledge should pursue short courses that focus on a particular topic. However, if you’re a complete beginner, then we recommend you take your time and complete one or two specialization data analytics courses. Hopefully, we were able to provide you the insights you were looking for. Stay tuned for more exciting guides on data science.

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