Data Analytics with Python Practice Exam

 

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.

Data Analytics with Python has gained immense popularity across the globe resulting in huge demand for certified professionals.

 

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.

Data Analytics with Python certified professionals, executives and managers are in high demand in companies across the globe.

 

Who should take the Data Analytics with Python Exam?

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

 

Knowledge and Skills required for the Data Analytics with Python

Candidates gain quick success in career of data analytics with python if they have skills of critical thinking and good communication skills.

 

Data Analytics with Python Practice Exam Objectives

Data Analytics with Python exam focuses on assessing your skills and knowledge in data analytics and Python language.

 

Data Analytics with Python Practice Exam Pre-requisite

There are no prerequisites for the Data Analytics with Python exam. Candidates who are well versed  in data analytics and Python language can easily clear the exam.

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

 

Exam Format and Information

Certification name – Certificate in Data Analytics with Python
Exam duration – 60 minutes
Exam type - Multiple Choice Questions
Eligibility / pre-requisite - None
Exam language - English
Exam format - Online
Passing score - 25
Exam Fees  - INR 1199