Python for Data Science Practice Exam

Python for Data Science

Python is an open-source, deciphered, significant level language and provides an extraordinary methodology for object-situated programming. It is perhaps the best language used by a data scientist for various data science projects/applications. Python provides extraordinary usefulness to manage mathematics, statistics, and scientific capacity.

Skills Required

• Data Scraping.

• SQL. 

• Data Frames. 

• AI. 

• Data Visualization.

Career Opportunity

• Associate Data Scientist

• Data Analytics (Manager)

• Business Intelligence/Analytics Supervisor f

• Senior Data Scientist - Machine Learning/AI

Table of Content

• Beginning the Data Science Journey
• Introducing Jupyter
• Understanding Numerical Operations with NumPy
• Data Preparation and Manipulation with Pandas
• Visualizing Data with Matplotlib and Seaborn
• Introduction to Machine Learning and Scikit-learn
• Building Machine Learning Models with Scikit-learn
• Model Evaluation and Selection

What do we offer?

• Full-Length Mock Test with unique questions in each test set
• Practice objective questions with section-wise scores
• In-depth and exhaustive explanation for every question
• Reliable exam reports to evaluate strengths and weaknesses
• Latest Questions with an updated version
• Tips & Tricks to crack the test
• Unlimited access

What are our Practice Exams?

• Practice exams have been designed by professionals and domain experts that simulate real time exam scenario.
• Practice exam questions have been created on the basis of content outlined in the official documentation.
• Each set in the practice exam contains unique questions built with the intent to provide real-time experience to the candidates as well as gain more confidence during exam preparation.
• Practice exams help to self-evaluate against the exam content and work towards building strength to clear the exam.
• You can also create your own practice exam based on your choice and preference 

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