DATA ANALYTICS WITH PYTHON

This Course teaches you to read data using (CSV, SQL, Excel), process that data using NumPy and Pandas, and visualize it using Matplotlib and Seaborn, we have incorporated a fast python reference to revive your programming abilities.

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Why Take This Course?

With this course, you will have a chance to jump into Python programming for data analysis purposes, and it will show you the foundational skills required in the field of data analytics. The course will acquaint you with the primary tool stash, ideas, and techniques utilized by data analysts and data scientists, and will show you how to program in Python to acquire, clean, dissect, sum up, and present data precisely and successfully...

Hands-on Practical

This program is designed to hold you by the hand and show you the most effective ways to go about analyzing data with python. It consists of weekly assignments, practical exercises, tutorials, and mentorship that will take your skills from Zero to one hundred within the period of training.

DATA ANALYTICS WITH PYTHON COURSE OUTLINE

PYTHON
Introduction To Python Data Analysis

You'll learn how to use thegeneral programming language (python) to create any kind of software that can be written on a computer, to analyze data
python-variables
Understanding Structures Of Python Data

You'll learn about all structures that are supported by python to enable users create & analyze data & also know functional structures that accepted.
model-development
Data Analysis Using Python Variables

Learn all the tools(e.g Panda, Numpy etc) needed to investigate, duplicate, arrange and describe data.
data-import
Datasets Import

Getting datasets into the Python environment is crucial. You'll discover how to import data into the Python environment for proper analysis.
datawrangling
Data Wrangling

You'll be able to Learn how to eliminate errors and integrate complex data sets to make them more accessible and understandable.
replace
Model Development

Learn how to make predictions about the future based on the data we know & how various variables can be used to predict with python.

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