Chennai :

9710033388 / 9884062253

Tanjore :

+919655141145

Data Analysis

Duration : 2 Months
Category :Data Analysis, SQL Analysis

The objective of the Data Analysis Training program is to equip learners with the essential analytical, technical, and problem-solving skills required to interpret data and support informed business decisions. This course provides a strong foundation in data handling, statistical analysis, data visualization, and reporting using industry-standard tools and techniques.

Learners will gain hands-on experience working with Excel, SQL, Python (or other analytical tools), and visualization platforms to clean, transform, analyze, and present data effectively. The training emphasizes understanding data patterns, generating actionable insights, creating dashboards, and applying analytical methodologies used in real business environments.

By the end of the course, learners will be able to work confidently with structured and unstructured data, perform exploratory data analysis, build meaningful visual reports, and contribute to data-driven decision-making—preparing them for roles such as Data Analyst, Business Analyst, Reporting Analyst, and Analytics Professional across multiple industries.

  • Python Basics (Data Types, Variables, Loops, Conditions)
  • File Handling
  • Exception Handling
  • Object-Oriented Programming (OOP)
  • Working with Libraries
  • Decorators and Generators
  • Regular Expressions
  • Python Comprehensions
  • Multithreading and Multiprocessing
  • Functions and Modules
  • NumPy Arrays and Array Operations
  • Data Types and Attributes
  • Mathematical Functions and Operations
  • Broadcasting and Vectorization
  • Array Manipulation (Reshaping, Joining, Splitting)
  • Statistical and Random Functions
  • Linear Algebra with NumPy
  • NumPy I/O
  • Indexing, Slicing, and Iterating
  • Pandas Data Structures (Series, Data Frame)
  • Data Cleaning and Preprocessing
  • Handling Missing Data
  • Data Aggregation and Grouping
  • Merging and Joining Data Frames
  • Pivot Tables and Cross-tabulation
  • Time Series Analysis
  • Data Visualization with Pandas
  • Indexing, Slicing, and Subsetting Data
  • Basic Plotting (Line, Bar, Scatter Plots)
  • Subplots and Grids
  • Working with Colours and Styles
  • Plot Annotations
  • Advanced Plot Types (Histograms, Pie Charts, 3D Plots)
  • Interactive Plots
  • Exporting Plots to Files
  • Customizing Plots (Labels, Titles, Legends)
  • Basic SQL Queries (SELECT, INSERT, UPDATE, DELETE)
  • Aggregate Functions (SUM, AVG, COUNT)
  • Indexing and Query Optimization
  • Stored Procedures and Triggers
  • Transaction Management
  • Backup and Restore
  • Connecting MySQL with Python
  • Joins (INNER, LEFT, RIGHT, FULL)
  • MongoDB Basics (Databases, Collections, Documents)
  • Indexes and Aggregation Framework
  • Working with Embedded Documents
  • Schema Design and Data Modelling
  • Querying and Filtering Data
  • Connecting MongoDB with Python
  • CRUD Operations in MongoDB
  • Manage Databases
  • MySQL Data Types
  • MySQL CREATE TABLE
  • MySQL Primary Key
  • MySQL Foreign Key
  • MySQL Sequence
  • MySQL INT Data Type
  • MySQL DECIMAL Data Type
  • MySQL DATE Data Type
  • MySQL TIME Data Type
  • MySQL DATETIME Data Type
  • MySQL ALTER TABLE
  • MySQL RENAME TABLE
  • MySQL ADD COLUMN
  • MySQL DROP TABLE
  • MySQL Temporary Table
  • MySQL Table Types
  • SQL Syntax
  • What is DDL, DML and DCL?
  • SQL Select
  • SQL Distinct
  • SQL Where
  • SQL And & Or
  • SQL Order By
  • SQL Insert Into
  • SQL Update
  • SQL Delete
  • SQL Injection
  • SQL Select Top
  • SQL Like
  • SQL Wildcards
  • SQL In
  • SQL Between
  • SQL Aliases
  • SQL Joins
  • SQL Inner Join
  • SQL Left Join
  • SQL Right Join
  • SQL Full Join
  • SQL Union
  • SQL Select Into
  • SQL Insert Into Select
  • SQL Create DB
  • SQL Create Table
  • SQL Constraints
  • SQL Not Null
  • SQL Unique
  • SQL Primary Key
  • SQL Foreign Key
  • SQL Check
  • SQL Default
  • SQL Create Index
  • SQL Drop
  • SQL Alter
  • SQL Auto Increment
  • SQL Views
  • SQL Dates
  • SQL Null Values
  • SQL Null Functions
  • SQL Data Types
  • SQL DB Data Types
  • SQL Avg()
  • SQL First()
  • SQL Last()
  • SQL Max()
  • SQL Min()
  • SQL Sum()
  • SQL Group By
  • SQL Having
  • SQL Ucase()
  • SQL Lcase()
  • SQL Mid()
  • SQL Len()
  • SQL Round()
  • SQL Now()
  • SQL Format()
  • SQL Count()
  • MySQL Stored Procedures Introduction
  • MySQL Stored Procedure Variables
  • MySQL Stored Procedure Parameters
  • MySQL Stored Procedures – Return Multiple Values
  • MySQL IF Statement
  • MySQL CASE Statement
  • IF vs. CASE
  • MySQL Loop Statements
  • MySQL Cursor
  • MySQL Stored Procedures Listing
  • MySQL Error Handling
  • MySQL Stored Procedures – Raising Error Conditions
  • MySQL Stored Function
  • MySQL Stored Procedures Getting Started
  • MySQL Triggers Implementation
  • Managing Triggers in MySQL
  • Create Multiple Triggers For The Same Trigger Event And Action Time
  • Working with MySQL Scheduled Event
  • Modifying MySQL Events
  • Create Trigger in MySQL
  • Introduction to Database View
  • MySQL CREATE VIEW
  • MySQL Views & WITH CHECK OPTION
  • Creating MySQL Updatable Views
  • Views in MySQL

Alexzender Alex

CSE Teacher

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Nathaniel Bustos

Manager

Latanya Kinard

Web Designer

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