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Best Python Courses for Data Analysis

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Best Python Courses for Data Analysis
Best Python Courses for Data Analysis

Are you looking for the Best Python Courses for Data Analysis?… If yes, then this article is for you. In this article, you will find the Best Python Courses for Data Analysis for beginners & advanced like Beginner courses, and Practice test coursesSo, check these Best Python Courses for Data Analysis and find the best Python for data Analysis for Beginners to Advanced according to your need. In the previous article, I shared the Best Data Analyst Courses on DataCamp to know in 2022.

Data Analyst with Python – DataCamp

Gain the career-building Python skills you need to succeed as a data analyst. In this Data Analyst with python course, you’ll learn how to import, clean, manipulate, and visualize data—all integral skills for any aspiring data professional or researcher.

Through interactive exercises, you’ll get hands-on with some of the most popular Python libraries, including pandas, NumPy, Seaborn, and many more.

You’ll also gain experience working with real-world datasets, including data from Walmart sales and data about global food consumption, to grow your data manipulation and exploratory data analysis skills, before moving on to learn the statistics skills you’ll need to perform hypothesis testing.

Start this track, grow your Python skills, and begin your journey to becoming a confident data analyst.

Course Duration: 32hrs | Total Courses: 8 | Best for: Beginner

Offers that you use for this course: JULY2022-TIER-1, Annual sales offer with 65%off

Info: Visit this course and get amazing offers on this course

Data Analysis with Python – Coursera

In this Data Analysis with Python, you will learn how to analyze data using Python. This course will take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analysis, create meaningful data visualizations, predict future trends from data, and more!

Data Analysis libraries: will learn to use Pandas, Numpy and Scipy libraries to work with a sample dataset. We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictions.

Benefits you will gain from this course:

  • Shareable Certificates
  • Practice Quizzes
  • Graded Assignments with Peer Feedback
  • Graded Quizzes with Feedback
  • Graded Programming Assignments

Best for: Beginners | Course Duration: 14 hrs | Provider: IBM

Pricing: $39

Info: Visit this course and get amazing offers on this course

IBM Data Analyst Professional Certificate – Coursera

Power your data analyst career by learning the core principles of data analysis and gaining hands-on skills practice. You’ll work with a variety of data sources, project scenarios, and data analysis tools, including Excel, SQL, Python, Jupyter Notebooks, and Cognos Analytics, gaining practical experience with data manipulation and applying analytical techniques.

Develop working knowledge of Python language for analyzing data using Python libraries like Pandas and Numpy, and invoke APIs and Web Services

This Professional Certificate does not require any prior programming or statistical skills, and is suitable for learners with or without college degrees. All you need to get started is basic computer literacy, high school math, comfort working with numbers, willingness to learn, and a desire to enrich your profile with valuable skills.

Courses in this IBM Data Analyst Professional Certificate are:

  • Introduction to Data Analyst
  • Excel basics for Data Analysis
  • Python for Data Science, AI and Development
  • Data Analysis with Python
  • Data Visualization with Python

Rating: 4.6

Provider: IBM | Course Duration: 5 months | Best for: Beginners

More info: Visit this course and get amazing offers

2022 Python Data Analysis & Visualization – Udemy

This is a tightly structured course that covers a ton, but it’s all broken down into human-sized pieces rather than an overwhelming reference manual that throws everything at you at once. After each and every new topic, you’ll have the chance to practice what you’re learning and challenge yourself with exercises and projects.

In the course, you’ll learn how to:

  • Work with Jupyter Notebooks
  • Use Pandas to read and manipulate datasets
  • Work with DataFrames and Series objects
  • Organize, filter, clean, aggregate, and analyze DataFrames
  • Extract and manipulate date, time, and textual information from data
  • Master Hierarchical Indexing
  • Merge datasets together in Pandas
  • Create complex visualizations with Matplotlib
  • Use Seaborn to craft stunning and meaningful visualizations
  • Create line, bar, box, scatter, pie, violin, rug, swarm, strip, and other plots!

Best for: Beginners | Course duration: 20.5hrs | Provider: Udemy

Info: Visit this course and get offeres on this course

Python Data Analysis – Coursera

Rating: 4.7

In this Python Data Analysis course, you will learn about reading, storing, and processing tabular data, which are common tasks. You will also know about CSV files and Python’s support for reading and writing them. CSV files are a generic, plain text file format that allows you to exchange tabular data between different programs. These concepts and skills will help you to further extend your Python programming knowledge and allow you to process more complex data.

By the end of the course, you will be comfortable working with tabular data in Python. This will extend your Python programming expertise, enabling you to write a wider range of scripts using Python. This course uses Python 3. While most Python programs continue to use Python 2, Python 3 is the future of the Python programming language.

Benefits you will gain from this course:

  • Shareable Certificates
  • Practice Quizzes
  • Graded Assignments with Peer Feedback
  • Graded Quizzes with Feedback
  • Graded Programming Assignments

Best for: Beginners | Course Duration: 9 hrs | Provider: Rice University

Pricing: $49

Info: Visit this course and get amazing offers on this course

Python for Data Analysts – Pluralsight

In this course, Python for Data Analysts, you will gain the ability to write Python programs and utilize fundamental building blocks of programming and data analysis. First, you will learn how programming languages such as Python, spreadsheets such as Microsoft Excel, and SQL-based technologies such as databases differ from each other, and also how they inter-operate.

Next, you will plunge into Python programming, installing Python and getting started with simple programs. You will then understand the ways in which variables are used to hold data, and how simple and complex data types in Python differ in their semantics.

Best for: Beginner – Intermediate | Course Duration:3h 33mins | Provider: Pluralsight

Pricing: Free for one week

Info: Visit this cours and get 7 – 10 days free trail

And here the list ends. So, these are the Learn Python for Data Analysis. I will keep adding more Best Big Data Books to this list.

Conclusion

I hope these Best Python Courses for Data Analysis will definitely help you to enhance your skills. If you have any doubts or questions, feel free to ask me in the comment section.

Best Python Courses for Data Analysis:

S.noCourse NameRatingBest forDuration
1Data Analyst with Python – DataCampBeginners32hrs
2Data Analysis with Python – Coursera (IBM)Beginners14hrs
3IBM Data Analyst Professional Certificate – IBM4.6Beginners3-5 months
4Data Analyst with Python Online Course – UdacityBeginners4 months
5Python Data Analysis – Coursera (Rice University)4.7Beginners9hrs
62022 Python Data Analysis & Visualization – Udemy4.7Beginners20.5hrs
7Python for Data Analysts – Pluralsight4Beginner – Intermediate3h 33min

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