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Data Science With Python Overview

The Python Data Science program teaches you the fundamentals of Python programming. Data Science with Python certification training will help you learn Data Analysis, Machine Learning, Data Visualization, Web Scraping, & NLP. Once the course is completed, you will have mastered the core tools of Data Science and Python.This course will help you master various concepts like Python sequence, machine learning and scripts.

Data Science With Python Key Features

100% Money Back Guarantee
  • Live Training Blended learning for 68 hours
  • Live Training Interactive learning using Jupyter notebooks labs
  • Live Training Mentoring session by industry professionals
  • Live Training 4 industry-based projects
  • Live Training Access to self-paced learning 24/7 for your entire life

Skills Covered

  • Data wrangling
  • Data exploration
  • Data visualization
  • Mathematical computing
  • Web scraping
  • Hypothesis building
  • Python programming concepts

Benefits

Data Science is a rapidly evolving field with better career prospects. It opens the opportunities door for multi-industry. Additionally, Python skills will give professionals an added advantage.

  • Designation
  • Annual Salary
  • Hiring Companies

Training Options

Self-paced Learning

$ 799

    • Everything in Self-Paced Learning, plus
    • 90 days of flexible access to online classes
    • Live, online classroom training by top instructors and practitioners

Online Live Classes

$ 499

    • Everything in Self-Paced Learning, plus
    • 90 days of flexible access to online classes
    • Live, online classroom training by top instructors and practitioners
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Course Content

  • Data Science With Python

    • Chapter 1

      • Course Overview

    • Chapter 2

      • Data Science Overview

    • Chapter 3

      • Data Analytics Overview

    • Chapter 4

      • Statistical Analysis and Business Applications 

    • Chapter 5

      • Python Environment Setup and Essentials 

    • Chapter 6

      • Mathematical Computing with Python (NumPy)

    • Chapter 7

      • Scientific Computing with Python (SciPy)

    • Chapter 8

      • Data Manipulation with Pandas

    • Chapter 9

      • Machine Learning with Scilkit-Learn

    • Chapter 10

      • Natural Language with Processing with Scikit Learn

    • Chapter 11

      • Data Visualization in Python using matplotlib 

    • Chapter 12

      • Python integration with Hadoop MapReduce and Spark

Data Science With Python FAQs

  • 1. What is Python Programming?

    Python is an object-oriented high-level programming language. It can be interpreted with dynamic semantics. Its high level built-in data structures and dynamic binding make it a great choice for Rapid Application Development.

  • 2. Why should I learn the python?

    Python is a popular language in Data Science. It can be used for data analysis, manipulation, and visualization. Python has access to many Data Science libraries, making it the perfect language for developing applications and implementing algorithms.

  • 3. How much difficult to learn the Python for data science?

    You will find it easier to learn Python, if you have coding experience and are familiar with other object-oriented programming languages. However, it's not mandatory.

  • 4. What are the modes of training of this course?

    Virtual Classroom

    Online classroom training gives you the option to take the Python Data Science course via video conference from your desk. This can help increase productivity and reduce your time away at work.

    Self-paced learning

    You will be able to view lecture videos in this mode and proceed with the course at any time.

  • 5. What is the exam pattern?

    No exam fee is included in it. You will get the certificate upon the 85% of successful completion of course which will have a lifelong validity.