Data analytics is the process of analyzing raw data to extract insights and make informed decisions.
It involves collecting, cleaning, transforming, and modeling data to uncover patterns, trends, and relationships.
Why learn Data Analytics?
The increasing demand for data-driven insights across industries, learning data analytics opens up a wide range of career opportunities.
Data analytics is essential in today's competitive landscape as it enables informed decision-making, provides a competitive advantage, improves efficiency and performance, enhances customer experience, drives innovation and growth, and offers abundant career opportunities in various industries.
What do we Provide?
We provide hands-on projects and case studies to give students practical experience in solving data-related problems and making data-driven decisions.
Our goal is to prepare students for careers in data analytics by providing them with a strong foundation and practical experience in this field.
Syllabus
Module 1: Python Pragramming
Introduction to Python Programming
Set up and Installation
Variables
Datatypes
Decision making
Control flow
Modules
Exception Handling
Introduction to nessary libraries
Module 2: Numpy
Introduction to Numpy
Set up and Installation
Creating Arrays
Numpy array Indexing and Slicing
Datatypes
Numpy Copy vs Join
Numpy Array Shape
Reshape
Numpy Array Join and Spilt
Numpy Array Search
Numpy Array Sort and Filters
Concept of Data Distribution
Module 3: Pandas
Introduction to Pandas
Set up and Installation
Series
DataFrames
Read CSV file and JSON
Data analyzing using Pandas
Data cleaning
Concept of Correlation
Module 4: Matplotlib
Introduction to Matplotlib
Set up and Installation
Plotting
Markers
Line
Grid
Subplot
Scatter Graph
Bar Graph
Histograms
Pie Charts
Module 5: Introduction to SQL
Introduction to DBMS
Set up and Installation
SQL Commands
Data Relationships
Data Security
Data backup and Utility
Module 6: Excel
Data formatting with Excel
Visualization with Excel
Various functions in Excel
Analysis with Excel
Module 7: Introduction to R
Programming
What is R language
Why we use R?
Module 8: Database Connectivity
Components
Introduction to Power BI
Set up and Installation
Connect data with Power BI
Transform data with Power BI
Publishing a report
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InfoStack Software Development, Training and Research Center, Solapur