Python Data Science Course

Dinesh Raju

Dinesh Raju

Experience: 12+ Years

5.0





5/5

Python Data Science Course Description

Python Data Science is a comprehensive course designed to equip you with essential skills in data analysis, visualization, and machine learning using Python. First and foremost, this course covers the fundamentals of Python programming, so even if you are a beginner, you can follow along. Additionally, you will learn to work with popular libraries such as Pandas, NumPy, and Matplotlib, which are essential for data manipulation and visualization. Furthermore, the course dives into machine learning concepts, helping you understand how to build predictive models.

Moreover, the Python Data Science course includes hands-on projects that allow you to apply your knowledge in real-world scenarios. You will work with various datasets, cleaning and analyzing data to uncover valuable insights. As a result, this practical approach ensures you are well-prepared for a career in data science. Ultimately, this course is perfect for anyone looking to enhance their skills in Python and data science, whether you are a student, a professional, or someone making a career switch.

Main Features

Fundamentals

Fundamentals

Python

Advanced Python and Framework of Python.

Course Curriculum

  1. Introduction to Data Science
  2. Need for Data Scientists, Foundation of Data Science, What is Data Analysis
  3. What is Data Mining, Use Case of Data Science, Analytics vs. Data Science
  4. Types of Analytics, Analytics Project Lifecycle, Business Intelligence vs. Data Science
  5. Life Cycle of Data Science, Tools of Data Science
  6. DATABasis of Data Categorization, Types of Data, Data Collection
  7. Types Forms of Data & Sources
  8. Data Quality & Changes, Data Quality Issues, Data Quality Story
  9. What is Data Architecture Components of Data Architecture, OLTP vs. OLAP, How is Data Stored?
  10. BIG DATA What is Big Data? ,5 Vs. of Big Data, Big Data Architecture, Big
  11. Data Technologies Big Data Challenge, Big Data Requirements, Big Data Distributed Computing & Complexity

Course Pre-requisites

For all Graduates

For all Post Graduates

For All Graduates and Post Graduates

Manual Testing Knowledge is required

Manual Testing Knowledge is required

Course Integrated

  • Live Sessions
  • Lab Sessions
  • Free demos
  • Free Tutorials
  • Resume

Recorded Videos

Certification

Mock Interviews

Real-time Project Implementation

  • 919 Students Enrolled
  • Duration: 70-75 hours
  • Language: English
  • Sessions: 70+
  • Levels: Beginner to Advanced
  • Time: Online Classes & Weekend Classes


Download Course PDF

Have Any Questions?

At Coding Masters, our faculty team is comprised of talented and experienced professionals with several decades of actual work experience in the software industry.
  • +91 8712169228
  • codingmasters.in@gmail.com
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