Data Analytics + ML Using Python VC - Innozant MIS & Data Analytics & Data Science

Administrator Intermediate

Description

Data Analytics + ML Using Python

Launching on 1st June 2023

Welcome to the online course on Advanced Data Analytics + Machine Learning using Python.

Data analysts exist at the intersection of information technology, statistics and business. They combine these fields in order to help businesses and organizations succeed.

The primary goal of a data analyst is to increase efficiency and improve performance by discovering patterns in data.

In this course, you will get advanced knowledge on Data Analytics.

This course begins with providing you the complete knowledge on Python programming language.

You will learn all the concepts of python programming from basics to advanced level.

Benefit:

Life time accessibility

30 hrs + pre-recorded video lectures

Topics covered in sequential manner in full depth.

Assignments and other resources.

Doubt sessions: Once or twice a month

Certificate on completion

This course will cover the following topics:-

  • Variables and data types
  • Loops and conditionals
  • Functions
  • Object oriented programming
  • Dates and times
  • Regular expressions
  • Numpy and pandas library

Along with python programming, this course will cover other data analytics concepts such as

  • Data Visualization
  • Data cleaning
  • Query Analysis
  • Statistics and Probability concepts

Who this course is for:-

  • Data Analysts
  • Business Analysts
  • Data Scientist
  • Programming beginners
  • Students and professionals who want to improve the training capabilities

What you’ll learn:-

  • Learn about python variables and data types.
  • Loops and conditionals in python.
  • Different data structures of python.
  • Creation of functions in python.
  • Object oriented programming using python.
  • Searching, sorting and time complexity in python.
  • Regular expressions and date time objects in Python.
  • Numpy and the Pandas library.

Topics for this course

104 Lessons

CLASS-1-PYTHON INTRODUCTION

PYTHON INTRODUCTION00:00:00
Resources-Class-1-Python Introduction

CLASS-2-PYTHON INSTALLATION

CLASS-3-PYTHON BASICS

CLASS-4-DATA TYPE PART 1

CLASS-5-DATA TYPE-PART 2

CLASS-6-OPERATORS

CLASS-7-CONTROL FLOW

CLASS-8-LIST

CLASS-9-TUPLES

CLASS-10-SET & DICTIONARY

CLASS-11-STRING

CLASS-12-FUNCTIONS PART 1

CLASS-13-FUNCTIONS PART 2

CLASS-14-ERROR & EXCEPTION

CLASS-15-FILE HANDLING

CLASS-16-MODULES IN PYTHON

CLASS-17-OOPS PART 1

CLASS-18-OOPS PART 2

CLASS-19-OOPS INHERITANCE PART 1

CLASS-20-OOPS INHERITANCE PART 2

CLASS-21-OOPS POLYMORPHISM

CLASS-22-ABSTRACTION & ENCAPSULATION

CLASS-23-ABSTRACTION & ENCAPSULATION

CLASS-24-NUMPY-1

CLASS-25-NUMPY-2

CLASS-26-NUMPY-3

CLASS-27-NUMPY-4

CLASS-28-NUMPY-5

CLASS-29-PANDAS-1

CLASS-30-PANDAS-2

CLASS-31-PANDAS-3

CLASS-32-PANDAS-4

CLASS-33-PANDAS-5

CLASS-34-PANDAS-6

CLASS-35-PANDAS-7

CLASS-36-PYTHON-PANDAS-8

CLASS-37-PYTHON-MATPILOTLIB

CLASS-38-PYTHON-DATA VISUALIZATION SEABORN

CLASS-39-PYTHON-SQL FOR DATA SCIENCE

CLASS-40-PYTHON-CREATE TABLE

CLASS-41-PYTHON-IMPORT FILE

CLASS-42-SQL-JOIN

CLASS-43-INNER QUERY

CLASS-44-STATISTICS

CLASS-45-MACHINE LEARNING

CLASS-46-MACHINE LEARNING

CLASS-47-ML-ALGORITHEMS

CLASS-48-ML-ALGORITHEMS

CLASS-49-ML-ALGORITHEMS

CLASS-50-ML-ALGORITHEMS

CLASS-51-ML-ALGORITHEMS

4,999.00
  • Course level: Intermediate