Certificate in Data Analytics with Python

Data Analytics with Python

About Data Analytics with Python

The principles of data analysis with Python are taught in the Data Analysis with Python Certification. By the time you complete this certification, you'll be able to read data from CSV and SQL files and process and display data using libraries like Numpy, Pandas, Matplotlib, and Seaborn.

Why is Data Analytics with Python important?

Python: An Important Language for Data Analysis:

• It's adaptable. Python is ideal for you if you want to do something innovative that has never been done before.
• It is simple to learn. Because Python prioritizes readability and simplicity, it has a progressive learning curve that is quite low.
• This is open source.
• It Has Good Support.

Who should take the Data Analytics with Python Exam?

• Data Analyst
• Python Developer
• Data Engineer
• Beginners who are curious about Data Science, Machine Learning and Data Analytics

Data Analytics with Python Certification Course Outline

1. Introduction to Data Science in Python
2. Intermediate Python
3. Data Manipulation with pandas
4. Joining Data with pandas
5. Introduction to Statistics in Python
6. Introduction to Data Visualization with Seaborn
7. Data Manipulation with Python
8. Importing & Cleaning Data with Python
9. Exploratory Data Analysis in Python
10. Sampling in Python
11. Hypothesis Testing in Python