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Top 11 Data Analytics Courses With Python

The estimated data analysis market using python by 2030 will be 100.6 million. These statistics show the market size and future of the python programming language. Therefore, you are watchful if you choose to be a data analyst and looking for data analytics courses with python. Before choosing a course, you must check its content, review, worth for money, flexibility, and more. 

List of best data analytics courses with python

Finding the best data analytics courses with python from many options is challenging and time-consuming. So, after researching vigorously, we develop the top data analysis courses and tutorials with python to make it easy for you.

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The Present and Future Market Size of Data Analysis With Python

In 2021 python market was USD 3.6 million, and by 2030, the growth is forecasted  100.6 million. Github stated that python was growing 22.5% year over year in 2022. A recent report found that the average salary for Python developers in the US is $96,000 yearly.

In India, based on skill and expertise, a python developer can expect to earn ₹4,00,000 to ₹8,00,000 per year. These statistics increase the demand for data analytics courses with python.

You should know the most important Data Analyst Interview Questions

Basic Criteria for Choosing Top Data Analytics Courses With Python

A personal goal, interest, career path, and ability to pay play a significant role when choosing courses. We studied around 25 data analytics courses with python before making this list. Our crucial consideration was the course content, fees, course length, time, reviews, instructor, and prerequisite for the course. Let’s see why we have best considered these data analytics courses with python.

Course Content

Check out for course outline to match your interest and needs. We checked and summarized the course plan to prepare you mentally, including quizzes, assignments, and exams.

Schedule Flexibility and Course Duration

Schedule flexibility plays a vital role in choosing courses. We choose courses whose duration ranges from 4 hours to 9 months. So if you are entirely new, try a short course to start. But for determined, one long course will make it easy to get into the profession quickly.

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Course Requirements

Before enrolling, anyone should make sure about the course prerequisite. So we carefully observe the requirements and levels among data analytics courses with python. The course we have chosen mostly does not need a professional degree but basic knowledge of mathematics.

Self-paced 

Students always prefer self-paced courses. So we have chosen these courses to have flexible timing, no live session, and no meeting deadlines.

Value for Money

Value for money is a fundamental consideration before spending. We make sure if you are spending to attend these courses, it’s worth it for you.

Instructor

The roles of instructors in data analytics courses with python are crucial before choosing one. Instructor and their way of conducting courses are one of the primary criteria before choosing a course. We focused on courses that included industry professionals as instructors and taught many professionals in data analysis using python.

Reviews

We checked reviews and feedback for you. Students who attended those courses and have an idea about their quality significantly impact our course selection.

Certificate

Course we have chosen provided certificate after completion in the paid version. Certificates add value to CVs, especially during a job application.

Looking for other best options? Dig in here:

 

Here is the List of the Top 11 Data Analytics Courses With Python

  1. IIM SKILLS
  2. IBM Data Analyst Professional Certificate– (Coursera)
  3. Introduction to Python – (DataCamp) 
  4. Python for Everybody Specialization by the University of Michigan–(Coursera)
  5. Learning Python for Data Analysis and Visualization Ver 1 (Udemy)
  6. Python for Data Science and Machine Learning Bootcamp– (Udemy)
  7. Intro to Data Analysis (Udacity)
  8. Data Analyst with Python (Coursera)
  9. Python Basics for Data Science (edX)
  10. Data analyst with Python (DataCamp)
  11. Master Python for Data Science (Linkedin Learning)

 

Here we will discuss the course, its key features, and who should join it.

1. IIM SKILLS

IIM SKILLS began its journey as an educational company that purely uses digital platforms to offer a wide range of courses to enhance professional skills. This company was initiated and started by Vaibhav Kakkar with their first course in content writing in the year 2015.

 

Since then with the successful response and positive feedback, IIM SKILLS started with a few more courses in different sectors. Now, they hold the number one position in the list of the top leading educational company that now offers a wide range of certified courses with global recognition worldwide.

Also Read: IIM SKILLS Data Analytics Course Review

The mentors are highly experienced and efficient and are domain experts. IIM SKILLS leads the top-rated institutions internationally. Among all the top recommended courses by IIM SKILLS, their data analytics is one of them.

 

This course provides an in-depth understanding of data analytics tools their functions and how are they professionally used in different sectors of businesses. This is 6 months of comprehensive training which is extended with 2 months internship which is optional based.

During the course period, the students are assigned weekly live projects and case studies for professional experiences. The course trains you to master data analytics tools.


Course Name: Data Analytics Course

Duration: 6 Months Training + 2 Months Internship (Optional)

Certification: Globally Recognised

Fees: INR 49900 + Taxes.

You Will Learn The Below Tools Under the Data Analytics Course WIth IIM SKILLS:

  • Python 1 & 2
  • R
  • Basic & Advance Excel
  • VBA
  • Tableau
  • Alteryx
  • SQL
  • Power BI

 

Courses With IIM SKILLS Come with exceptional Benefits Like Below:

  • The course is fully online based.
  • A 100% hands-on tool-based training.
  • Focuses more on practical learning.
  • Weekly assignments are given with live projects.
  • Guaranteed job placements.
  • Learning materials are given with lifetime free access.
  • Live interactive training sessions are conducted with the training managers.
  • The mentors are domain experts and share professional experiences.
  • Full assistance and guidance for career building and professional goals.
  • Guaranteed refund after the first session of the course if the student is unsatisfied.
  • Flexible EMI payment options that have zero interest charged.
  • Lifetime free access to the learning materials provided during the course.

Other Professional Courses from IIM SKILLS

 

Contact Information:

+919580740740, [email protected]

You should check the courses in other rewarding cities

 

02. IBM Data Analyst Professional Certificate– (Coursera)

Name of the institution: Coursera

Course Title: IBM Data Analyst Professional Certificate

Course media: Online

Course duration: 4 months/10 hrs study per week

Course ratings:   4.6 stars

Course language:   English

Course level:  Beginner 

Course certification:  Available

IBM Data Analyst Professional Certificate is the most comprehensive online course out of all the data analytics courses with Python. It is designed to train students to have a better career in data analysis. The curriculum included Python, SQL, Numpy, Pandas, and more. 

IBM offers this course on the Coursera platform, and now 9s expert instructors are working. They divided it into 9 courses: data fundamentals, Excel Basic, data visualization, python, SQL, IBM Data Analyst Professional Certificate Capstone, and more. Course audit is free, but to complete it, you have to pay.

The Key Feature of the IBM Data Analyst Professional Certificate

Some key features of the “IBM Data Analyst Professional Certificate” course of Coursera include:

  • Details of fundamentals for beginners are the key features of this course.
  • Data Gathering, sharing, visualizing, analyzing, and using dashboard tools are the starting lessons of this course.
  • Then they teach python basics and the use of the most popular python tools like NumPy and Pandas.
  • The last two courses mainly teach statistical analysis and modeling. This included special visualization techniques like Waffle and Folium. Students can apply the skills they have learned in the program during their final capstone project.
  • IBM industry professionals take the course.
  • Graded exams, quizzes, and a community forum made this course engaging.
  • Job-ready skills, a shearable certificate, and access to course materials make it the top data analysis course.

 

Overall the IBM Data Analyst Professional Certificate on Coursera is one of the excellent data analytics courses with Python for beginners who want to learn in detail to have a career.

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03. Introduction to Python – (DataCamp) 

Name of the institution: Datacamp

Course Title: Introduction to Python

Course media: Online

Course duration:   4 hours

Course ratings:   4.7 stars

Course language:   English

Course level:  Beginner 

Course certification:  Not available

Focusing on the variety of pythons used, Datacamp launched a course called “Introduction to Python.” Machine learning, web development, and data analysis are the prime jobs of python. This introductory course moves to an advanced level, like using the python library.

They will end the course with the most popular tools of Numpy array. The teaching of Hugo Bowne, a data scientist at Datacamp, will make you confident and prepare you with analytical python skills. 

The Key Feature of Introduction to Python

Some key features of the “Introduction to Python” course of Udacity include:

  • You will learn to prepare data sets by creating data pipelines.
  • Accessing huge amounts of data, how to work with them, store and manipulating them will be plus points for learners.
  • Use functions, loops, packages, and libraries to influence the code.
  • The game-style intensive technique and bite-sized lesson made this course a fun experience for students.
  • Non-paid course with 11 videos and 57 exercises makes it even more attractive.

Who should join this course? 

This course is best suited for beginners who want to learn python free and through fun. Overall this course is designed to give their students a solid base to master Data analysis and makes it one of the top picks among data analytics courses with python.

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04. Python for Everybody Specialization by the University of Michigan–(Coursera)

Name of the institution: Coursera

Course Title: Python for Everybody Specialization by the University of Michigan

Course media:                  Online

Course duration              8 months

Course language              English

Course ratings                 4.8 stars

Course level                  Beginner 

Course certification         Available

“Python for Everybody Specialized” course on Coursera is a 5-series course offered by the University of Michigan. This is one of the beginner-friendly comprehensive online courses. It is designed to teach python programming. Instructor Charles Russell Severance, a clinical professor, makes this course worth learning python programming.

You can audit this course, but you must pay for a certificate and complete the entire course. Course material moves from introductory to advanced level to make it understandable. This is one of the promising data analytics courses with python.

The Key Feature of Python for Everybody Specialized

Some key features of the “Python for Everybody Specialized” course of Coursera include:

  • The first and second courses are all about basic Python and data structure.
  • In the third course, students get to know about retreating data from websites.
  • They kept structured query language (SQL) and its use to retrieve data in the fourth course. 
  • In the final capstone, students apply everything they learned to solve problems. This course is quite details in terms of introduction and covers Python 3.
  • Students learn JSON, XML, Python Syntax And Semantics, Tuple, Sqlite, SQL, and more throughout this course.
  • Graded assignments, quizzes, and programming assignments make this course engaging for students.
  • Access to course material and a shearable certificate makes it even better as an opening course.

Who should join this course? 

Beginners should take this course as an introduction to data analysis. Detail-oriented course structure as an introduction to data analysis using Python makes it a good choice for beginners. Overall, the “Python for Everybody” specialization is a comprehensive course that covers a wide range of topics, so this course provides an excellent foundation.

 

05. Learning Python for Data Analysis and Visualization Ver 1 (Udemy)

Name of the institution: Udemy

Course Title: Learning Python for Data Analysis and Visualization Ver 1

Course media                   Online

Course duration                20 hours

Course ratings                  4.3 stars

Course language              English

Course level                    Intermediate

Course certification         Available

“Learning Python for Data Analysis and Visualization Ver 1” is one of the best-selling courses on Udemy. He taught 350000 students in Udemy. This course only includes students with knowledge of math and basic python skills. This course is well organized, and subtitles are available in other languages. 

The Key Feature of Learning Python for Data Analysis and Visualization Ver 1

Some key features of the “Learning Python for Data Analysis and Visualization Ver 1” course of Udemy include:

  • You will learn python programming using the Numpy, Matplotib, Seaborn, and Pandas modules.
  • The course curriculum is industry-driven.
  • The syllabus also includes teaching with data formats such as JSON, HTML, and MS Excel worksheets.
  • Learning Jupyter Notebook is also part of this course.
  • The course offers downloadable resources and lifetime access to videos and books.
  • Instructor Jose Portilla made great interaction and engagement through assignments, hands-on projects, quizzes, and discussions.
  • The course certificate is available upon completion.

Who should join this course? 

This course is the best for those interested in math and have basic python knowledge should join this course. 

 

06. Python for Data Science and Machine Learning Bootcamp– (Udemy)

Name of the institution: Udemy

Course Title: Python for Data Science and Machine Learning Bootcamp

Course media: Online

Course duration                25 hours

Course ratings                  4.6 stars

Course language              English

Course level                      Intermediate

Course certification         Available

Udemy offers “Python for Data Science and Machine Learning Bootcamp,” an extensive primary data analysis and python learning course. People highly interested in data analysis but lacking the background can pursue this course.

 

It is designed for the intermediate level and is available in subtitles.  By the end of this course, you will have a strong understanding of data analysis, visualization, and Python programming.

The Key Feature of Python for Data Science and Machine Learning Bootcamp

Some key features of the “Python for Data Science and Machine Learning Bootcamp” course at Udemy include:

  • Courses include python, machine learning, and logarithm applications.
  • How to use python libraries like Numpy, Pandas, Seaborn, Matplotlib, and more.
  • In logistic regression, K means clustering and linear regression is also part of this course.
  • Downloadable resources and lifetime access to course materials make it even more attractive.
  • Data scientist Jose Portilla makes this course easy to understand.
  • You will get a certificate upon course completion.

Who should join this course? 

This course is best suited for those with some programming knowledge and background interested in data analysis. Its details about data analysis using python make it Udemys one of the best-selling courses. 

 

07. Intro to Data Analysis (Udacity)

Name of the institution: Udacity

Course Title                      Intro to Data Analysis

Course media                   Online

Course duration                6 weeks

Course ratings                  4.5 stars

Course language              English

Course level                      Beginners

Course certification         Not available

Udacity offers a course intro to data analysis, which introduces the fundamental concepts and some python tools used in data analysis. This course is for data analysis beginners. In this course, students will learn data wrangling, data exploration, finding suitable patterns, predicting, and communicating with data. 

This course also includes powerful programming languages like python. So you will get to learn about how to use python and its data analysis library, like NumPy, Pandas, and Matplotlib, to visualize and analyze data.

 

The Key Feature of Intro to Data Analysis 

Some key features of the “Intro to Data Analysis” course of Udacity include:

  • To develop practical data analysis, students get hands-on project opportunities to understand real-world problems. It becomes easy for them to solve data in the future.
  • To solidify the understanding of tools and concepts, they have quizzes and exercises for getting immediate student feedback.
  • Despite completing the course, students can access the course materials and resources, continuing to learn and practice data analysis.
  • The Python-based curriculum helps them to identify and solve dimension and two-dimension data.
  • This course is free and self-paced.
  • All the instructors are industries successful.
  • Learning materials and free access to instructional and solving videos will be provided.

Who should join this course? 

This course is the best for beginners looking for a free course and want a good understanding within a short time.

 

08. Data Analyst with Python (Coursera)

Name of the institution: Coursera

Course title                        Data Analyst with Python

Course media                   Online

Course duration                14 hours

Course ratings                  4.7 stars

Course language              English

Course level                      Beginners

Course certification         Available

Coursera is a global online platform founded by Daphne Koller and Andrew Ng in 2012. Its prime purpose is to change the life of a learner. They have a B corp certificate for affecting this society positively.  This course, Data Analyst with Python, is to provide various aspects of the data for new data analysis learners.

Their syllabus includes data importing, formatting, machine learning, and visualization.  It’s offered by IBM and consists of two modules covering different aspects of data analysis. After completing it, you can learn another program in a different direction. Such as

  • IBM Data Science Professional Certificate
  • IBM Data Analyst Professional Certificate
  • Applied Data Science Specialization

The Key Feature of Intro to Data Analysis 

Some key features of the “Intro to Data Analysis” course of Udacity include:

  • This course is self-paced and scheduled so that you can use it from your space according to your schedule.
  • It is available in different subtitles, such as Arabic, French, Vietnamese, German, Russian, Turkish, Persian, Portuguese (European), Italian, English, and Spanish.
  • You will learn python programming using Pandas, Numpy, and Scipy.
  • You will learn to build regression models to predict and make decisions.
  • You will also learn what model to choose and how to use, along with data analysis.
  • Their discussion forum will make it easy to collaborate and share knowledge.
  • End of this course, a shearable certificate is provided to enrich your job profile.
  • Expert in the data analysis field from IBM takes the class.
  • They offer financial aid is available for some students.

Who should join this course? 

This course is especially for those with time management problems as it offers courses according to your time and is also for starters.

 

09. Python Basics for Data Science (edX)

Name of the institution     edX

Course Title                     Python Basics for Data Science

Course media                  Online

Course duration               3 weeks

Course ratings                  4.6 stars

Course language              English

Course level                      Beginner 

Course certification           Available

Edx runs an introductory course on python programming basics and its applications called Python Basics for Data Science. This course is for new data analysis learners with minimal or no knowledge of python and its practice. This course is available in paid or free options but the paid one offers more opportunities than the free one.

The Key Feature of Python Basics for Data Science

Some key features of the “Python Basics for Data Science” course of Udacity include:

  • IBM offers this course, and you can collaborate with other professionals using Watson Studio. Watson Studio empowers data scientists and also runs AI models.
  • The course curriculum will strengthen python basics like data structures and programming fundamentals.
  • Introduction and use of mostly python libraries such as Numerical python or Numpy, Pandas is another charm of this course.
  • They included real-world applications to make their students confident.
  • This course is accessible for paid and non-paid versions, and Edx support is available for paid and non-paid students.
  • The process of grading assignments and exams involves students and helps them to become serious about this course.
  • The course structure allows the Paid students to progress quickly and revise the concepts whenever needed.
  • The shareable certificate is provided upon course completion for paid students.

Who should join this course? 

This course is best suited for beginners as the introduction to data analysis. And those who can’t afford this course can learn some from the free version. This course serves as a base for further study in data analysis.

 

10. Data Analyst With Python (DataCamp)

Name of the institution: Datacamp

Course title                        Data Analyst with Python

Course media                   Online

Course duration                36 hours

Course ratings                  4.5+ stars

Course language              English

Course level                      Beginners

Course certification         Available

Datachamp was founded in 2013 and offers a variety of courses in data science. Using python data analysis opens a vast door as a career choice. Forbes rated them as the number 1 Data analysis certification. Data analyst with python under Datacamp is one of the most popular programs in the world.

Students from 180+ countries are using this platform to learn. This platform also helps them to establish their students. They offer four plans for pricing. So the number 1 plan is free to limited access. The premium for individuals offers all access with job ready. Team and enterprise are rest two plans.

 

The Key Feature of Data Analytics Courses With Python:

Some key features of the “Intro to Data Analysis” course of Udacity include:

  • You will learn the basics, such as data importing, manipulating, cleaning, and visualization.
  • How to use python tools like pandas, Numpy, seaborn, and many more.
  • Statistics skills like hypothesis testing.
  • Working with extensive databases to learn data manipulation and exploratory data analysis skills.
  • Hands-on experience with tools and data.
  • Job profile and career opportunity for learners.
  • You can learn for free to some extent.
  • Interactive learning makes it more interesting.
  • Upon completing this course, you will get a certificate for making a job profile.

Who should join this course? 

This course is designed for beginners interested in data analysis, and programming should join this course.  They teach how to use python for analyzing data from scratch, so coding experience is optional.

 

11. Master Python for Data Science (Linkedin Learning)

Name of the institution: LinkedIn Learning

Course Title:                 Master Python for Data Science

Course media:                  Online

Course duration               9hrs 45 min 

Course language              English

Course level                  Advance

Course certification         Available

LinkedIn Learning offers a data analysis course using python, known as “Master Python for Data Science.” This course is well arranged and informative about the programming language python. This course is quite long, and the content is to the point.

The Key Feature of Master Data Analytics Courses With Python

Some key features of the “Master Python for Data Science” course of Udacity include:

  • This course includes advanced python, such as creating databases and exploring SQLite, MySQL, and PostgreSQL.
  • They also included using data analysis and manipulation tools like Pandas at an advanced level.
  • Vectorization, Mumba, and Cyton are also part of this curriculum.
  • A certificate is available after course completion.
  • This course is free for one month and self-moving.

Who should join this course? 

This course is best suited for beginners as the introduction to data analysis. And those who can’t afford this course can learn some from the free version. This course aims to improve efficiency and speed coding in programming language and Pandas.

Here Are Some FAQs About Data Analytics Courses With Python

1. Can I learn data analysis on my own?

Yes, it is possible to self-learn the basics of data analysis. 

2. How do I start learning Data Analytics Courses With Python?

First, start with hands-on learning of Python, learn about libraries and use of its tools, build a Python-related portfolio, and try advanced data techniques. You can also enroll in data analytics courses with Python mentioned above. 

3. Can a non-IT person learn data analysis?

Undoubtedly, it’s easy for an IT person to cope, but many successful data scientists don’t have an IT or coding background. 

4. What Python skills are required for data analysis?

Data visualization, extraction, web scraping, and programming with python to solve complex statistical analysis.

Conclusion About Data Analytics Courses With Python

Here we talked about the details of some best data analytics courses with python, including the e-learning platform and university. We enlisted the best paid and non-paid courses. As a beginner, you can start with a free course, but advanced learners should choose an advanced course. This article aims to help you find specific information about data analysis using Python that will help you gain a deeper understanding of the subject.

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