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Data Sciences with Python (2-in-1 Course)

Data Sciences with Python (2-in-1 Course)

The rise of new digital industrial technology, known as Industry 4.0, is a transformation that makes it possible to gather and analyze data across machines, enabling faster, more flexible, and more efficient processes to produce higher-quality goods at reduced costs.

Omni Academy offer a unique Data Sciences course with Python programming for industry professionals and students willing to make their career in fast growing field of data sciences and Machine Learning. Course provides complete understanding of data sciences and hands-on expertise with python programming language usage in business.

Key Learnings:

  • Python Programming
  • Use Python for Data Science and Machine Learning
  • Use Spark for Big Data Analysis
  • Implement Machine Learning Algorithms
  • Learn to use NumPy for Numerical Data
  • Learn to use Pandas for Data Analysis
  • Learn to use Matplotlib for Python Plotting
  • Learn to use Seaborn for statistical plots
  • Use SQLite Database for Importing Data
  • Learn About Machine learning

Course Prerequisite 

Basic level understanding with any financial data analysis, database or programming language understanding.​

Join this Course
Responsible HR & Marketing
Last Update 08/12/2024
Completion Time 20 hours
Members 1
Data Sciences with Python Python Data Science
  • Module-1 Python Fundamentals
    4Lessons · 2 hr 30 min
    • Salaries Analysis With Pandas
    • Introduction to Python Variables, Strings, Numbers
    • Lists, List Indexing and Slicing, List Methods Tuples, Dictionaries User Input, Conditions
    • Custom Functions Working with Files, Processing the content of a file
  • Module-2 Working with Loops and Packages
    2Lessons · 2 hr 30 min
    • For Loop, While Loop String Formatting Modules, Libraries and Packages
    • Installing Python Packages Working with Date and Time objects
  • Module-3 Dealing with Programming Errors
    3Lessons · 2 hr 30 min
    • Syntax Errors,
    • Runtime Errors
    • Exception Handling in Python
  • Module-4 Data Analysis with Pandas
    3Lessons · 2 hr 30 min
    • Getting Started with Pandas, Loading Data in Python from CSV, Excel, TXT and JSON Files
    • Indexing and Slicing Dataframes,
    • Dropping Dataframe Columns and Rows, Updating and Adding new Columns and Rows
  • Module5: Machine Learning & Data Science – I
    1Lessons · 2 hr 30 min
    • NumPy with Python,Using pandas Data Frames to solve complex tasks , Use pandas to handle Excel Files Connect Python to SQlite
  • Module-6 Machine Learning & Data Science – II
    3Lessons · 2 hr 30 min
    • Using pandas Data Frames to solve complex tasks
    • Use matplotlib for Datavisualization, Piecharts
    • Use pandas to handle Excel Files, Connect Python to SQlite
  • Module-7 Learning About Database
    2Lessons · 2 hr 30 min
    • Movies Dataset (Project Overview), What is a Database / SQL?
    • How to create an SQLite Database, How to load Data from DataFrames into an SQLite Database, How to load Data from SQLite Databases into DataFrames
  • Module-8 Final Project
    1Lessons · 2 hr 30 min
    • eCommerce Data Sheet With Pandas