Data Science with Python

About Data Science with Python

Learners receive a thorough grasp of data analytics tools & methodologies with this Data Science with Python training. You may learn about data analysis, visualization, NumPy, SciPy, web scraping, and natural language processing by getting started with Python.

The fundamentals of the Python programming environment, including core python programming methods like lambdas, reading and manipulating CSV files, and the Numpy library, will be covered in this course. The popular Python pandas data science library will be used to educate on how to manipulate and clean data, explain the abstraction of Series and DataFrame as the key data structures for data analysis, and provide lessons on how to efficiently use tools like groupby, merge, and pivot tables.

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

Why is Data Science with Python important?

Python's data science libraries are excellent for dealing with data science applications. Because of its simplicity and ease of use, Python is one of the most popular programming languages in the scientific and research sectors. People without technical backgrounds may easily learn how to use it because of this.

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

Who should take the Data Science with Python Exam?

• Managers, senior executives, executives
• Anyone Who Wishes To Learn Practical Data Science Using Python
• Anyone Interested In Learning Machine Learning Algorithms
• Data Scientist
• Python Developer

Knowledge and Skills required for the Data Science with Python

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

Data Science with Python Practice Exam Objectives

Data Science with Python exam focuses on assessing your skills and knowledge in data science and Python language.

Data Science with Python Practice Exam Pre-requisite

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

Data Science with Python Certification Course Outline

1. Introduction to Data Science
2. Python Libraries for Data Science
3. Data Wrangling
4. Feature Engineering
5. Exploratory Data Analysis
6. Fundamentals of Data Manipulation with Python
7. Basic Data Processing with Pandas
8. More Data Processing with Pandas
9. Answering Questions with Messy Data

Exam Format and Information

Certification name – Certificate in Data Science 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