Data Analyst

Diploma in Data Analyst

Data Analyst is Most demanded in company. Data analytics help a business optimize its performance, perform more efficiently, maximize profit, or make more strategically-guided decisions. The techniques and processes of data analytics have been automated into mechanical processes and algorithms that work over raw data for human consumption

9+ Expert Mentors

200+ Assignments

Average CTC 9 LPA

( 755 Review)

DURATION

6 months / 150 Hours

LEVEL

Begninner to Advanced

LEARNING MODE

Project & Job Based

Talk to Program Advisor

3500+

Students Enrolled

★ Join thousands of learners building successful careers

Course Key Points

MS Excel

Data Validation

Python Basics

Data Manipulation

SQL

Joins & Subqueries

Power BI

Interactive Dashboard

Real World Project

Advanced Excel

Pivot Tables

NumPy

Data Analysis

MySQL

Aggregate Functions

Power Query

Charts & Reports

Data Reporting

Data Cleaning

Excel Dashboards

Pandas

Data Visualizations

SQL Queries

Window Functions

DAX Basics

Business Insights

Career Prepartion

Features

Installment

Flexible Timing

Job
Assistance

Expert
Trainers

Digital
Notes

Live Projects

Smart
Classes

Practical
Learning

COURSE CONTENT

Advance Excel

Microsoft Excel is a widely used tool for data analysis, reporting, and business work. This course provides practical training in data handling, calculations, analysis, and dashboard creation using real Examples.

Excel Foundation

• Introduction to Excel and Spreadsheet Concepts

• Excel Interface and Workbook Structure

• Data Entry, Formatting, and Cell Management

• Rows, Columns, Sheets, and Tables

Formulas & Fuctions

• Basic Formulas and Calculations

• Arithmetic and Logical Formulas

• Cell Referencing (Relative, Absolute, Mixed)

• Common Functions (SUM, AVERAGE, COUNT, MIN, MAX)

• Logical Functions (IF, AND, OR, NOT)

• Text Functions (LEFT, RIGHT, MID, LEN, CONCAT)

• Date and Time Functions

Lookup Functions & Error Handling

• VLOOKUP and HLOOKUP

• XLOOKUP Basics

• Nested Functions

• Error Handling Functions

Data Analysis Tools

• Pivot Tables

• Pivot Charts

• Grouping and Summarizing Data

• Subtotals

• What-If Analysis

• Goal Seek and Scenario Manager

DATA HANDLING AND CLEANING

• Sorting and Filtering Data

• Conditional Formatting

• Data Validation Rules

• Remove Duplicates

• Text to Columns

• Find and Replace

• Handling Missing and Incorrect Data

SQL (Structured Query Language)

SQL (Structured Query Language) is a key tool used to manage and analyze data in modern organizations. This course provides practical training in MySQL and database operations for beginners.

Database Fundamentals

Introduction to SQL and Relational Database Concepts
Database Fundamentals and DBMS Overview
Types of Databases
SQL Command Categories (DDL, DML, DCL, DQL)

MYSQL Setup & Environment

MySQL Environment Setup and Tools
Working with MySQL Server and Interface
Creating, Selecting, and Dropping Databases

Table & Structure Design

Table Creation and Table Design Principles
SQL Datatypes and Field Constraints
Primary Keys, Foreign Keys
Table Relationships
Indexes and Basic Query Optimization

Data Operations (Core SQL)

SQL Operators and Conditional Expressions
Data Insert Operations
Update, Delete Records
Select Queries

Filtering( Row, Group and Conditional)

Where Clause
Distinct
Group By
Having Clause
Like
In / Not in

Advance Queries

Subqueries and Nested Queries
Views and Virtual Tables
Window Functions for Advanced Analysis

Sorting & Result Control

Order by
Limit
Offset

Functions & Data Processing

Aggregate and Statistical Functions
String Functions
Date Functions
Numeric Functions

Joins & Multi-Table Queries

Inner Join
Left Join
Right Join
Full Join with UNION

Transaction Control

AUTOCOMMIT MODE
COMMIT COMMAND
ROLLBACK COMMAND

Advanced Database Features

Stored Procedures
Parameterized Logic
Bulk Data Import and Export

Python

Python is a powerful and widely used language for data analysis, automation, and business tasks. This course provides practical training in Python basics along with NumPy and Pandas for efficient data handling and analysis.

Python Founcations

Introduction to Python and programming fundamentals
Features and advantages of Python language
Python installation and interpreter setup
Package manager (pip) basics
Virtual environment setup basics
Visual Studio Code installation

Core Language Basics

Variables and variable naming rules
Built-in data types (int, float, str)
Type conversion functions
Type checking methods
Arithmetic operators
Comparison operators
Logical operators
Membership operators
Input functions
Output and formatted printing
String creation and indexing
String slicing techniques

Functions & Code Organization

Function definition and calling
Function parameters
Default parameters
Keyword arguments
Return values
Multiple return values
Lambda functions
Recursive functions basics
Creating custom modules
Importing modules

Control Flow & Logic

If statement usage
If-elif-else structures
Nested conditions
Multiple condition checking
For loop iteration
While loop execution
Range () function usage
Loop control — break
Loop control — continue
Pass statement

Data Structures, Files & Error Handling

Lists: Creation, Indexing, Slicing, Comprehensions, and Methods
Tuples: Creation, Properties, and Unpacking
Sets: Creation, Operations, and Methods
Dictionaries: Creation, Keys, Values, and Methods
Nested Data Structures
File Handling: Opening, Reading, Writing, and Appending Files
Working with File Paths and CSV/Text Data
Exception Handling: try, except, finally, and Custom Exceptions

NumPy

NumPy is a core Python library for numerical computing and data analysis. This module provides hands-on training in array handling, mathematical operations, and data processing techniques to build a strong foundation for analytics and machine learning.

NumPy Foundations

Introduction to Python and programming fundamentals
Features and advantages of Python language
Python installation and interpreter setup
Package manager (pip) basics
Virtual environment setup basics
Visual Studio Code installation

Array Creation

Creating arrays from lists and tuples
Using array() function
Creating zero arrays (zeros)
Creating one arrays (ones)
Creating identity matrices
Using arange() and linspace()
Creating arrays with random values

Indexing & Slicing

One-dimensional array indexing
Multi-dimensional indexing
Array slicing techniques
Boolean indexing
Fancy indexing
Conditional selection

Vectorized Operations

Element-wise arithmetic operations
Vectorized calculations
Array broadcasting in operations
Comparison operations on arrays
Logical operations on arrays

Sorting & Filtering

Sorting arrays
Argsort and sort methods
Filtering with conditions
Where function usage
Extracting filtered values

Reshaping & Transformation

Reshaping arrays
Flattening arrays
Transpose operations
Resize and reshape difference

Mathematical & Statistical Functions

Aggregate functions (sum, mean, min, max)
Axis-based calculations

Pandas

Pandas is a powerful and widely used Python library for data analysis and manipulation. This course provides practical training in data importing, cleaning, transformation, and reporting to efficiently analyze real-world datasets.

Pandas Foundations

Introduction to Pandas for data analysis workflows
Features and advantages of Pandas library
Installing and importing Pandas
Understanding labelled data structures

Core Data Structures

Series structure and creation methods
DataFrame structure and components
Creating DataFrames from lists and dictionaries
Understanding index and column labels
Data types

Data Import, Inspection & Cleaning

Importing and exporting CSV/Excel files
Reading large datasets efficiently
Viewing and inspecting datasets
Descriptive statistics and value counts
Detecting and cleaning data quality issues
Removing duplicates and renaming columns
Data type conversion
Handling missing values

Grouping & Data Combination

Group By operations and aggregation functions
Multi-column grouping
Merge, Join, and Concatenate datasets
Handling overlapping columns

Sorting, Date & Function Applications

Sorting and ranking data
Date and time processing
Apply functions on rows and columns
Lambda expressions and custom functions

Data Selection & Transformation

Row and column selection
Conditional, Boolean, and Query-based filtering
Creating and modifying columns
Column-wise calculations
Applying transformations, mapping, and replacing values

Pivot Tables & Summary Reporting

Creating pivot tables
Multi-level pivot reports

Power BI

Power BI is a popular business intelligence and data visualization tool used to turn raw data into interactive dashboards and reports. This course provides practical training in Power BI for data modelling, visualization, and reporting for beginners.

Power BI Foundations

Introduction to Business Intelligence concepts and analytics workflow
Features and applications of Power BI
Power BI Desktop installation and setup
Understanding reports, datasets, workspaces, and the Power BI interface

Data Connection & Transformation

Connecting to Excel, CSV/Text files, and databases
Working with multiple data sources
Power Query Editor interface
Data cleaning, transformation, and reshaping
Splitting and merging columns
Removing errors, duplicates, and managing data types

Data Visualization & Interactive Controls

Group By operations and aggregation functions
Multi-column grouping
Merge, Join, and Concatenate datasets
Handling overlapping columns

DAX (Data Analysis Expressions)

Importing and exporting CSV/Excel files
Reading large datasets efficiently
Viewing and inspecting datasets
Descriptive statistics and value counts
Detecting and cleaning data quality issues
Removing duplicates and renaming columns
Data type conversion
Handling missing values

Dashboard Design & Reporting

Sorting and ranking data
Date and time processing
Apply functions on rows and columns
Lambda expressions and custom functions

Who can Join
this Course?

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What Makes us Better

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Technical Support

Affordable Fees

JOB Oriented Training

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ISO Certified

100% Placement
Assistance

Meet your Mentors

Kuldeep Chhikara

Founder & Managing Director of Skynet ICA

Sahil

Senior Developer & Data Specialist

Santosh

Microsoft Certified Trainer

Vikas Bhaskar

E - Accountant

A Glimpse of our World
"Inside Skynet ICA"

Harsh Utwal

"It is the one of the best institute in the world .it has hi-fi equipments and software in good condition and well -working . The teacher,s knowledge are well - qualified .
The condition of room is fully air conditioned and work and project are show on projector. Student are full filled with knowledge and skills."

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