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Data Analytics: From Basics to Advanced with Industry Tools

Learn data analysis using Python, from basic data manipulation to advanced statistical techniques. This course covers real-world data sets and helps you build the skills needed for data visualization, interpretation, and decision-making in business. Gain hands-on experience and prepare for a successful career in data analytics.

Description

Unlock the power of data with our Python course designed for aspiring data analysts. This course covers everything from data manipulation to advanced analytics techniques using popular libraries like Pandas and NumPy. You’ll learn to clean, visualize, and interpret data, as well as how to draw actionable insights for business decisions. Through real-world projects, you’ll build practical skills in data analysis that are highly valued in today's job market. Whether you're a beginner or looking to enhance your expertise, this course prepares you for a successful career in data analytics.

What You will Learn?

  • Understand the fundamentals of Python, including variables, data types, and control structures.
  • Learn to manipulate and analyze data using libraries like Pandas and NumPy.
  • Master data visualization techniques using Matplotlib to create impactful charts and graphs.
  • Gain practical experience in data cleaning, exploration, and transformation.
  • Learn how to interpret data to draw actionable business insights for decision-making.

Topics for this course

Total learning: 10 Lessons Time: 12h 20m

What is data analytics?
Key Data Analytics Tools
Installing Data Analytics Tools
Data Handling and Preparation
Types of Data: Structured vs. Unstructured

Python Programming Overview
Var, Datatype and Operators
Conditions & Loops with break statements
functions, Regular expression and error handling
OOPS concepts, Modules and libraries
Numpy, Pandas, Matplotlib
Installing workbench
Create database,table and insert data
drop database, table and alter table
Between, IN, AND/OR, OrderBy and Functions
Like Operator, Joins
intert data from excel, connect to python

MS-Excel overview and Installing
Excel basic inputs
Formulas, graph and table content
Pivot table with advanced excel
Power BI installing
Power BI Desktop, Power BI Service, and Power BI Mobile
Power BI vs Excel
Power BI Interface: Ribbon, Fields Pane, and Report View
Importing Data from Sources (Excel, SQL Server, Web)
Data Transformation with Power Query
Creating Data Models & Data Analysis Expressions
Visualizations in Power BI
Publishing and Sharing Reports

Descriptive Statistics & Probability Distributions
Time Series & Regression Analysis
R Programming for Data Analytics
Ethical Considerations in Data Analytics
Privacy and Security in Data Analytics
Statistical Methods for Business Analytics
Predictive Analytics
Key Performance Indicators (KPIs) and Metrics
Financial Modelling and Forecasting
Risk Analytics and Management
Predicting Customer Lifetime Value (CLV)
Human Resource Analytics
Ethical Considerations and Data Privacy

About the instructors

Codingsthan
4.9 ratings (200)

We are a dedicated team committed to providing top-quality education, empowering individuals with in-demand skills. Our goal is to bridge the gap between learning and real-world application through hands-on training.

20 Courses 1700 Students

Price: 9,999

Enrolled 200 Students

This Course Includes

  • Skill level : Beginner to advanced
  • Instructor : Codingsthan
  • Duration : 40 Hours
  • Lessons : 20
  • Language : English, Hindi
  • Certificate : yes

Requirements

  • No previous knowledge of coding required.
  • If you passion of learning, that's great.
  • Learn Data anytime, anywhere with your laptop or mobile