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Top 4 Data Science Fundamentals Courses

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Have you been looking for a data science fundamentals course but are tired of constantly reading the about section of numerous courses? Fret not! We have compiled a one-stop list of 4 courses you can confidently opt for to start your learning.

Top 4 Data Science Fundamentals Courses

  • Professional Certificate in Data Science Harvard (eDX)

Location: Online, eDX

Price: $890

Program type: Part time

This course may be your best option. It includes 9 skill-building modules, including ones on R fundamentals, visualization, probability, and range taught by professionals in the field and from a reputable institution like Harvard. With only 2-3 hours of study per week, this course is designed to be finished in about 5 months. It is flexible to fit your schedule. You will likely acquire the skills you need to succeed in your career with this Professional Certificate in Data Science.

  • Data Scientist Nanodegree Program (Udacity)

Location: Online, Udacity

Program type: Part Time

Udacity’s Data Scientist Nanodegree Program employs Python, SQL, and Statista, and familiarity with all of these, as well as the machine learning concepts discussed in the Machine Learning Nanodegree Program’s Intro, is required. You can apply everything you’ve learned in just four months by working on your own open-ended Data Science project.

  • Data Science Fundamentals by Julie Pai (Coursera) 

Location: Online, Coursera 

Program type: Part Time

The four courses that make up this specialization are designed to demystify data science and acquaint students with its fundamental concepts, methods, and tools. After each course is finished, there are practical assignments that allow you to put your newfound knowledge to use. You can complete this self-paced course in about 4 months by studying for about an hour per week.

Courses covered in the specialization are:

1: Intro to Analytics Thinking, Data Science, and Data Mining

2: Predictive Modeling, Model fitting, and regression analysis

3: Cluster Analysis, Association mining, and Model Evaluation

4: Natural language processing and capstone assignment

  • Data Science Fundamentals by Cognitive Class

Location: Online, Cognitive classes

Program type: Part Time

This is another introductory course that includes one course that introduces you to Data Science from a practitioner’s perspective, as well as courses that cover topics like data compilation, preparation, and modeling. With the help of this course, you will also learn how to use open-source tools and earn the Data Science Foundations – Level 2 (V2) badge.

Conclusion 

Demand for data scientists will always be high because it is one of the most lucrative careers. Therefore, now that you have the necessary tools at your disposal, all you need to concentrate on is learning and planning for a bright future.

 

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