Generic selectors
Exact matches only
Search in title
Search in content
Search in posts
Search in pages

5 Best Online Applied Data Science Courses & Certification of 2020

Applied Data Science Courses

It is incredibly difficult for students with so many Applied Data Science courses to meet their needs. Learners also ask whether each case has an Applied Data Science Course. The response is YES. Below you can find popular courses. Registration for the right course is an important factor in your career growth. In this article, experts selected the best Applied Data Science courses in 2020.

The main goal is to illustrate the most popular courses in all categories.

Based on your preferences, choose one that best suits your needs.

Let us look at the best courses in the field of Applied Data Science.

1. Applied Data Science with Python (Coursera)

Duration: 5 months, 7 hours/week

Rating: 4.5 out of 5

This training program, provided by the University of Michigan, is tailored for those who wish to study applied data science with the programming language Python. It consists of five different courses which introduce you to Python’s Data Science. Taking this training program can help you learn how to use python toolkits such as Pandas, Scikit-learn, nltk, etc. to apply mathematical, text analysis, machine learning, social network analysis and data visualization. The curriculum is developed by University of Michigan professional teachers, who will support you with every learning step and help you overcome challenging program-related issues.

Key Highlights:

  • Get introduced to the fundamentals of the Python programming framework using basic Python techniques
  • An interactive curriculum designed especially for people with a general understanding of Python programming and data science;
  • Including online tutorials and practice quizzes, graded assignments and peer reviews to help you suit the subject better
  • Using the matplotlib library to learn the fundamentals of information visualization with an emphasis on reporting and charting
  • Receive a certification certificate after you complete the course with the projects in the course.
  • Flexible hundred per cent curriculum with no deadlines and self-styled learning

You can Sign up Here

2. Applied Data Science Specialization by IBM (Coursera)

Duration: 2 months, 12 hours/week

Rating: 4.6 out of 5

Individuals looking to gain practical skills for data science-related real-world data problems may take advantage of this training program. Whether you want to pursue a Data Science career or enhance your basic skills, with this programme, you can achieve everything. You will understand about the programming language Python, data visualization, and data analysis in this program. Taking this specialization program will improve your competencies in Python and data science. If the program is successfully completed, you will not only obtain the specialization certificate but also an IBM badge that will identify you as an Applied Data Science specialist.

Key Highlights:

  • Get access to direct lectures, labs, and projects to develop your skills and hands-on experience to fix exciting data science issues
  • A comprehensive program which includes all the materials and data you need to start your data science career
  • Contains four separate courses, each focused on a specific subject in data science, such as studying and using Python for data science, etc.
  • Get flexible study time with self-styled learning
  • Take a closer look at big data, AI and deep learning after completing all the courses in this specialization programme

You can Sign up Here

3. Graduate Applied Data Science Certificate (Berkeley School)

Duration: Self-paced

Rating: 4.6 out of 5

For any person interested in pursuing a Data Science career, Berkeley School of Education offers a three-course graduate program in Applied Data Science. In this multi-course curriculum, you will learn about techniques , processes, and analytical frameworks that can be used in technical and applied research settings to support current data analysis and decision analysis. You will be exposed to various problems dedicated to working with data, like inference and causality, raising a legitimate question, making decisions, etc. You will also get exposed to advanced data analytics tools and techniques such as machine learning , data mining, and much more.

Key Highlights:

  • Learn how to use analytical methods and techniques to extract perspectives from organized and well-cured data sets
  • A specialized graduate certificate program tailored to meet the needs of graduates of professional schools of Berkeley
  • Get exposed to the data sciences, analytical methods and techniques required to become a data scientist
  • Be a knowledgeable user of data science techniques with multiple expertise in specific fields
  • Get realistic experience in working with unstructured, user-generated data to come up with new ways to inform decision-making

You can Sign up Here

4. Statistical and Applied Data Science (Udemy)

Duration: 9-10 hours

Rating: 4.7 out of 5

Udemy is a fantastic platform to try and learn in any subject, it offers useful courses for each person. This applied course in data science is also among the highest-rated programs that will help you improve your existing Applied Data Science skills. Mahmoud who works as a senior consultant and system analyst engineer developed the course. He will help you build the vital skills you need to become an professional system analyst, and equip you. Taking this course will help you learn how to deal with the normal problems of data science, stuff you should think about in data analysis and market analysis, how to measure P-value using the manual and direct approach and much more.

Key Highlights:

  • Learn about the data types and why various data types, P-value, Type One error, Null hypothesis and alternative hypothesis need to be examined
  • Learn in-depth about standard distribution and regular distribution, using the Z table
  • Know the inferential and concise statistics with a set of key quizzes and examples to help you understand more
  • Contains numerous quizzes, practical tests, hands-on projects and online tutorials to develop your knowledge and skills
  • Understand which programming language is best for you to continue with applied data science and learn the language afterwards

You can Sign up Here

5. Professional Applied Data Analytics (edX)

Duration: 5 months, 3-4 hours/week

Rating: 4.5 out of 5

If you are ready to obtain an Applied Data Analytics professional certification, then this edX program may be the perfect option for you. The speciality of the course is that it is administered by Microsoft, ensuring you can learn and gain knowledge from Microsoft’s expert individuals. You will know how to develop data analytics skills to real-world situations with this program and make your company more stable. In addition, the curriculum contains short videos, quizzes, realistic tests and instructors’ reviews so you can assess where you are in your learning.

Key Highlights:

  • Consists of three separate courses, each structured in a specific way to help you learn more about the concepts
  • A full collection of Applied Data Analytics principles to help you continue your Data Science career
  • With this course, you will learn everything from storytelling to ethical consideration and unique organizational contexts
  • Combines a self-directed online learning approach with the latest methods and hands-on laboratories used in applied data analysis
  • Learn the art and science behind data storytelling and how to make a greater impact in analytics

You can Sign up Here

Wrapping Up

This is the list of the 5 Best Online Applied Data Science Courses & Certification of 2020. They are popular and loved by many experienced Data Science learners. You will find between these courses what you need to learn in order to continue your Applied Data Science learning journey.

Check Also

Applied Data Science Courses

7 Best & Free Online Natural Language Processing Classes of 2020

Students with so many Natural Language Processing classes find it extremely difficult to meet their …