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6 Best Online Python for Data Analysis Courses & Tutorials of 2020

Python for Data Analysis Courses

It is incredibly difficult to meet the requirements for students with so many Python for Data Analysis courses. Learners often ask if each scenario has a course in Python for Data Analysis. The answer is YES. Below you can find popular courses. Registration for the correct course is an important element in your career development. In this article, experts selected the best courses in Python for Data Analysis in 2020.

Highlighting the best-known courses in all categories is the main objective.

Based on your preferences, select one that best suits your needs. But let us look at the best courses on the market for Python for Data Analysis.

1. Analyzing Data with Python (edX)

Duration: 5 weeks, 2 to 4 hours per week

Rating: 5 Weeks

This comprehensive course discusses how Python can help analyze and use data to solve real-world problems. Work with multi-dimensional arrays of numpy and manipulate pandas for dataframes. In addition, you can also focus on machine learning and use various libraries and resources. You should have a solid base by the end of the classes and be eligible for further certifications.

Key Highlights:

  • Research on hands-on experiments and projects to apply scientific principles.
  • To make the most of the lessons, a simple overview of Python is needed.
  • Cleanse, prepare and summarize data.
  • Content and lectures can be accessed free of charge, and an additional fee may be added to the certification.
  • To create intelligent approaches, explore open source libraries and ML algorithms.

You can Sign up Here 

2. Data Analysis with Python (Coursera)

Duration: 9 hours

Rating: 4.6 out of 5

It has now become one of the key sources of information with the exponential rise in data growth. In this class, you begin with the basics of Python and explore the various data types you may find in practical scenarios. Learn to analyze data , extract and use it to predict trends based on various parameters and more.

Key Highlights:

  • Practice with flexible deadlines anytime and wherever.
  • This course for beginners requires no previous experience.
  • Complete all the qualification quizzes and practical assignments.
  • Import, clean and visualize data sets.
  • Code and demos illustrate every definition.

You can Sign up Here

3. Introduction to Python (DataCamp)

Duration: 4 hours

Rating: 4.4 out of 5

This course will help you acquire the skills of Python data analysis. Start with the basic ideas of this language before moving on to lists, tuples, functions, methods etc. After that, you can begin operating with larger datasets simulating real-life scenarios.

Key Highlights:

  • Gain the instructor ‘s best practices and guidance.
  • To create efficient solutions, write short and optimal code.
  • Virtual lessons are a pleasant way to learn.
  • Careful guidance is provided for setting up programs’ software and tools.
  • You can access the first module for free to see whether the classes meet your requirements.
  • After the lectures, the tasks allow you to brush up and evaluate your knowledge of the concepts covered.

You can Sign up Here

4. Learning Python for Data Analysis and Visualization (Udemy)

Duration: 21 hours

Rating: 4.3 out of 5

If you would like to start a career in data science, this course will give you the tools to do so. Understand how to program and work on different parts and libraries with Python. Know regarding formats like HTML, Excel, JSON, etc. The lessons emphasize the theoretical and practical aspects of the subject equally. After completion, you are able to apply for your dream career profile or to fix problems in the real world.

Key Highlights:

  • Evaluate datasets and build views to share the results with others, both from technical and non-technical backgrounds.
  • Basic mathematics and Python skills are enough to enroll in classes.
  • Full guidance is given to make the appropriate plans to proceed.
  • Work on projects and build an interview portfolio.
  • The lectures are accompanied by access to over 100 example codes.
  • Register at a reasonable price for the course.
  • 110 readings + 3 papers + 4 downloadable resources + Full lifetime access access

You can Sign up Here

5. Intro to Data Analysis (Udacity)

Duration: Self-paced

Rating: 4.4 out of 5

This program gives you the ability to interact with and explore each of the different types of datasets. Use libraries like Pandas, NumPy and see how they can be used to solve problems at an industry level. You should have confidence and realistic knowledge of the subjects discussed by the end of the courses.

Key Highlights:

  • Lots of shows and illustrations make it easy to follow.
  • All ideas are thoroughly covered by scratch.
  • Get all content and lectures free access.
  • Consider the best practices you should use in your coding habits.
  • Explore the obstacles to be avoided during solutions growth.

You can Sign up Here

6. Data Analysis with Python (CognitiveClass.ai)

Duration: 8 hours

Rating: 4.4 out of 5

This useful curriculum for beginners is one of the best options when you want to learn practical skills in the study of datasets. Carry out statistical analyzes, build models to forecast future patterns and make intelligent choices. Develop the ability to understand which type of analysis methodology is required based on the data format in which you work.

Key Highlights:

  • Learnings can be viewed on any device at any time.
  • Build models of machine learning and data pipelines.
  • Learn about and evaluate different types of regressions.
  • Data import and export and missing values are handled.
  • Free access to the course and a regular audit.

You can Sign up Here

Wrapping Up

This is the list of the 6 Best Online Python for Data Analysis Courses & Tutorials of 2020. They are popular and loved by many experienced Data Analysis learners. You will find between these courses what you need to learn in order to continue your Data Analysis learning journey.

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