6 Best Python for Data Analysis Courses [2019]

best python data analysis course class certification training online

25 Experts have compiled this list of Best Python for Data Analysis Course, Tutorial, Training, Class, and Certification available online for 2019. It includes both paid and free resources to help you learn Python for Data Analysis and these courses are suitable for beginners, intermediate learners as well as experts. If you are interested in the entire course library of Python, then don’t forget to check out our list of Best Python Certification.

 

6 Best Python for Data Analysis Courses, Certification & Training [2019 UPDATED]

1. Data Analysis with Python (Coursera)

With the exponential increase in the rate of data growth, it has become one of the prime sources of information nowadays. In this class, you will begin with the fundamentals of Python and explore the different types of data that you might encounter in practical scenarios. Learn to prepare data for analysis, extract information and use them to predict trends based on different parameters and more.

 

Key USPs –

– This beginner-level course requires no prior experience to get started.

– Learn anytime and anywhere with flexible deadlines.

– Import datasets, cleanse it and visualize the results.

– Every concept is explained with code and demonstrations.

– Complete all the quizzes and practical assignments to earn the certification.

 

Duration: 9 hours

Rating: 4.6 out of 5

You can Sign up Here

 

Review : Perfect for beginner level. all the concepts with code and parameter wise have been explained excellently. overall best course in making anyone eager to learn from basics to handle advances with ease. -RP

 

 

2. Analyzing Data with Python (edX)

This comprehensive program talks about how Python can be instrumental in analyzing data and using it to solve real-world problems. Work with numpy’s multi-dimensional arrays and manipulate DataFrames in pandas. Along with this, you will also have an opportunity to work on machine learning and use different libraries and tools. By the end of the classes, you will have a strong foundation and be ready to go for more advanced certifications. If you are looking at honing your data science skills, then do check out our compilation of best Data Science Certification.

 

Key USPs-

– A basic overview of Python is required to make the most of the lessons.

– Cleanse, prepare and summarize data.

– Work on the hands-on labs and assignments to put the theoretical concepts into action.

– Explore open source libraries and ML algorithms to develop smart solutions.

– The content and lectures can be accessed for free and the verified certification can be added for an additional fee.

 

Duration: 5 weeks, 2 to 4 hours per week

Rating:

You can Sign up Here 

 

 

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

If you are interested in jump-starting a career in data science then this course will provide you the resources for that. Understand how to program with Python and work with various modules and libraries. Learn about data formats such as HTML, Excel, JSON, etc. The lessons put an equal emphasis on the theoretical and practical aspects of the subject. Upon the completion of the course, you will be ready to apply for your dream job profile or solve real-world problems.

 

Key USPs-

– Basic math and Python skill are sufficient to enroll in the classes.

– Complete guidance is provided to perform the necessary setup to follow along.

– Analyze datasets and create visualizations to communicate your findings with individuals from both technical and non-technical profiles.

– Access over 100 example codes accompany the lectures.

– Work on projects and create a portfolio to showcase at interviews.

– 110 Lectures + 3 Articles + 4 Downloadable resources + Full lifetime access

– Register for the course at an affordable price.

 

Duration: 21 hours

Rating: 4.3 out of 5

You can Sign up Here

 

Review : Awsome, Project lesson is well explain & I am able to know how to implement the code learn in previous exercise in real world example. – Saurabh Kumar

 

 

4. Introduction to Python (DataCamp)

This course is designed to help you gain the skills of data analysis using Python. Commence with the foundational concepts of this language before moving on to lists, tuples, functions, methods among others. Following this, you will start working with larger datasets that simulate real-life scenarios.

 

Key USPs-

– Interactive lessons make learning a fun experience.

– Write short and optimal code to create efficient solutions.

– The assignments following the lectures allow you to brush up and measure your understanding of the concepts covered.

– Gain best practices and advice from the instructor.

– Thorough guidance is provided to set up the software and tools used in the programs.

– The first module can be accessed for free to see if the classes suit your requirements.

 

Duration: 4 hours

Rating: 4.4 out of 5

You can Sign up Here 

 

 

5. Data Analysis with Python (CognitiveClass.ai)

This beginner-level hands-on program is one of the top choices if you are looking forward to earning practical skills in analyzing datasets. Perform statistical analysis, develop models that can be used to predict future trends and make informed decisions. Develop the capability to understand which type of analysis technique is required based on the data format that you are working with.

 

Key USPs-

– The lessons can be accessed anytime and on any device.

– Develop machine learning models and data pipelines.

– Import and export data and handle missing values.

– Learn about different types of regressions and perform evaluations.

– Access the course for free and audit any number of times.

 

Duration: 8 hours

Rating: 4.4 out of 5

You can Sign up Here 

 

 

6. Intro to Data Analysis (Udacity)

In this program, you will get the opportunity to work with different types of datasets and explore each of them thoroughly. Make use of the libraries such as Pandas, NumPy and see how they can be used to solve industry-level problems. By the end of the classes, you will have the confidence and hands-on knowledge of the topics covered.

 

Key USPs –

– All the concepts are covered in depth from scratch.

– Tons of demonstrations and examples make it easy to follow along.

– Understand the best practices that can be incorporated in your coding habit.

– Explore the pitfalls to be avoided while developing solutions.

– Get free access to all the content and lectures.

 

Duration: Self-paced

Rating: 4.4 out of 5

You can Sign up Here

 

So these were the 6 Best Python for Data Analysis Tutorial, Class, Course, Training & Certification available online for 2019. Hope you found what you were looking for. Wish you a Happy Learning!