Data Sciences with Python Machine Learning (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 provide complete understanding of data sciences and hands-on expertise with python programming language usage in business.

Course Learning Summary

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

Big Data | Data Sciences Course Overview

Course Key Content

Learn how to program with Python, how to create amazing data visualizations, and how to use Machine Learning with Python;

Module-1 Python Fundamentals

Introduction to Python
Variables, Strings, Numbers
Math Operators, Built-in functions
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

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

Syntax Errors
Runtime Errors
Exception Handling in Python

Module-4 Data Analysis with Pandas

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

Module-5 Machine Learning & Data Science – I

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

Use matplotlib for Datavisualization
Piecharts
Barcharts
Line charts
Histograms

Module-7 Learning About Database

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

eCommerce Data Sheet With Pandas
Salaries Analysis With Pandas

Course Prerequisite

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

By the end of the course, you will be able to:

design, develop, debug, execute, and refactor Python scripts;
think algorithmically to analyze problems and implement them as computer processes;
create and process arrays using mathematical operations from the NumPy library;
manipulate and analyze data using the pandas library;
perform data visualizations using the matplotlib plotting library;
understand the role of a data scientist in data analysis projects;
create and develop your own programming portfolio to stand out from the crowd in the job market;

Data Scientist Career

Job Interview Preparation (Questions & Answers)