Hello and welcome to Udemy's most comprehensive Pandas course! A wonderful pick for both beginners and specialists who want to learn more about one of the world's most popular Python libraries!

Data Analysis with Pandas and Python includes 19+ hours of in-depth video training on today's most sophisticated data analysis toolkit. The instructor is well-versed in the content and provides thorough explanations for each topic. It's also clear, and it informs pupils about potential hazards. He gives a really reasonable explanation that is simple to follow.

The popular Pandas package is built on top of the Python programming language, and Data Analysis with Pandas and Python introduces you to it. Pandas is a powerful tool that lets you do anything with massive data sets, including analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, and calculating.

Requirements:

• Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)
• Basic experience with the Python programming language
• Strong knowledge of data types (strings, integers, floating points, booleans) etc

Who this course is for:

• Data analysts and business analysts
  
• Excel users looking to learn a more powerful software for data analysis

Subtitles: English [Auto], French [Auto], German [Auto], Indonesian [Auto], Italian [Auto], Polish [Auto], Portuguese [Auto], Spanish [Auto]
Udemy Rating: 4.7/5.0
Enroll here: https://www.udemy.com/course/data-analysis-with-pandas/

This is a project-based, hands-on course that will teach you how to understand Python's essential building blocks for data analysis and business intelligence. Learners will begin by examining key Python data types and properties, as well as installing Anaconda and Jupyter Notebooks, where learners will write first lines of code.

Learners will then go through basic tools like variables, numeric and string operators, loops, custom functions, and so on. You'll discover how to build and manage raw data, define conditional logic, loop through iterables or indices, and extract values from dictionaries, lists, tuples, and other data types. You'll be a Data Analytics Intern with Maven Ski Shop, the world's #1 ski shop, for the duration of the course.

Requirements:

• No Python or programming experience required (they will cover everything you need to know!)
• They will use Anaconda & Jupyter Notebooks (a free, user-friendly coding environment)

Who this course is for:

• Analysts or BI professionals looking for a deep introduction to basic Python
  
• Aspiring data scientists who want to build foundational Python programming skills
  
• Anyone interested in learning one of the most popular open source programming languages in the world
  
• Students looking to learn powerful, practical skills with hands-on projects and course demos

Subtitles: English
Udemy Rating: 4.7/5.0
Enroll here: https://www.udemy.com/course/python-foundations-for-data-analysis/

SQL Programming for Data Analysis and Software Development is one of the Best Online Data Analysis Software Courses.During this course, you will be able to learn a myriad of things, including the creation of Databases for Applications, MS SQL Server from scratch, Database transfer from Local hosting to Web Hosting, the Use of tools like MySQL Workbench and SQL Server Management Studio for Database Administration, MySQL from scratch, basics of Python Pandas for connecting MySQL Database using Anaconda Navigator, Step by Step SQL Programming Language for Data Analysis and Software Development.

Requirements:

• Basic Knowledge of Computer Concepts.

Who this course is for:

• Beginners who want to build their career in the field of Data Science or Software Development.
  
• Scool or College students who have SQL Language as a Subject in their curriculum.
  
• Beginners who want to create SQL Database for their own web applications

Subtitles: English
Udemy Rating: 4.5/5.0
Enroll here: https://www.udemy.com/course/sql-programming-for-data-analysis-and-software-development/

The discipline of data analytics is rapidly increasing as businesses attempt to get insights and move their businesses forward with the use of data. In this Data Analytics Complete Course, you'll learn what data analytics is, why it's important, the various types of data analytics, and the various data analytics applications. You'll also learn how to use data analytics to your work.

During this session, learners will go over hundreds of different methods, traits, features, and functions that are hidden within this fantastic package. Learners will look at a variety of datasets, both short and long, broken and perfect, to demonstrate the tool's incredible flexibility and usefulness. You can explore with a variety of sample datasets in Data Analysis using Pandas and Python. Discover how easy it is to get started with pandas by starting at the beginning and following along with my lessons!

Requirements:

• Basic math skills
• Basic to Intermediate Python Skills
• Have a computer (either Mac, Windows, or Linux)
• Motivate to learn

Who this course is for:

• Python, data science, and data visualization enthusiasts are all encouraged to apply.
• All curious individuals who are interested in the fast growing field of data science!

Subtitles: English
Udemy Rating: 4.3/5.0
Enroll here: https://www.udemy.com/course/complete-data-analysis-with-python-pandas/

With the fifth position on the list of the Best Online Data Analysis Software Courses, Complete Introduction to Business Data Analysis is great if you want to master basic, effective approaches for creating impactful Excel dashboards and data analysis. This course, which was updated in 2022 with full high definition video, provides you practical skills that you can instantly apply in your professional setting. Take a peek at the most recent feedback and reviews!

Ian Littlejohn, an international trainer, consultant, and data analyst with over 150 000 enrollments and 100 000 students on Udemy, is leading this course. Ian teaches data analysis techniques, Excel Pivot Tables, Power Pivot, Microsoft Power BI, Google Data Studio, and Amazon Quicksight, and his courses have an average rating of 4.5 out of 5 stars.

Requirements:

• An understanding of working with data in Excel
• Excel (2010 - Office 365)
• Some examples will require Excel Power Pivot and Power View - which are only available on Windows
• Excel on Mac may not have access to all techniques

Who this course is for:

• All Business people who want to turn data into information
  
• Excel users who want to take their reporting and analysis to the next level
  
• Students who want to learn powerful methods of data analysis

Subtitles: English [Auto], French [Auto], German [Auto], Indonesian [Auto], Italian [Auto], Portuguese [Auto], Spanish [Auto]
Udemy Rating: 4.6/5.0
Enroll here: https://www.udemy.com/course/the-complete-introduction-to-business-data-analysis/