Data Analytics Course Classes in Vadodara with 100% Placement | Gen AI
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Data Analytics Course Classes in Vadodara with 100% Placement | Gen AI

Enroll yourself in the most effective data analytics course in Vadodara and learn all the practical skills needed for the IT industry. Learn all about programming in Python, SQL programming, advanced use of MS Excel, PowerBI, and data visualization techniques.

Course Overview

Certification and Accreditation

Our Accreditations : ISO 9001 : 2015 Certified Training Institute with Egypt ISO Accreditation
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Best Data Analytics Training in Vadodara

With the increasing competition in the current scenario, data analytics assists organizations in making well-informed decisions that enable them to outperform their competitors. Data analytics is therefore an important skill which professionals can leverage to solve practical business problems and obtain useful insights from complex business data.

STAD Solution provides industry-specific data analytics training in Vadodara which prepares students for their future career in data analytics. The courses provided by STAD Solution help individuals learn all that is required for them to succeed in their career and make their lives successful.

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STAD Solution alumni placed at leading MNC companies
STAD Solution alumni job placement at leading MNC companies

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Student Testimonials

For STAD Solution, Student's satisfaction is the top most priority

Data Analytics Course Curriculum

Our course is created by the industrial experts and it consists of several modules that cover the following topics

Fundamentals

  • What is Data Analytics?
  • Importance of Data Analytics in Business
  • Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive
  • Basic Functions and Formulas
    • Arithmetic Operations
    • Statistical Functions
  • Data Cleaning and Preparation
    • Removing Duplicates
    • Data Formatting
  • Data Visualization
    • Charts and Graphs
    • Conditional Formatting
  • Pivot Tables and Pivot Charts
    • Creating and Analyzing Pivot Tables

SQL and MySQL

  • SELECT, INSERT, UPDATE, DELETE

  • Joins and Subqueries
  • INNER JOIN, LEFT JOIN, RIGHT JOIN
  • Writing Subqueries

Python

  • Syntax and Data Types
  • Control Structures (Loops and Conditionals)
  • Installing Libraries (pip)
  • Introduction to Jupyter Notebook
  • Introduction to Pandas
    • DataFrames and Series
  • Data Cleaning and Preparation
    • Handling Missing Data
    • Filtering and Selecting Data
  • Data Aggregation and Grouping
  • Merging and Joining DataFrames
  • Introduction to NumPy
  • Arrays and Their Properties
  • Array Operations
    • Mathematical Functions
    • Statistical Functions

Power BI & Tableau

  • Introduction to Power BI
    • Power BI Desktop vs. Power BI Service
  • Data Importing and Preparation
    • Connecting to Data Sources
    • Data Transformation using Power Query
  • Creating Reports and Dashboards
    • Visualizations: Charts, Tables, Maps
    • Slicers and Filters
  • Introduction to Tableau
  • Connecting to Data Sources
  • Creating Basic Visualizations
    • Bar Charts, Line Charts, Scatter Plots
  • Building Dashboards
    • Combining Visualizations
    • Interactivity in Dashboards

Projects & Tools

  • Real-world Data Analysis Project
  • Applying Skills Learned
    • Data Collection, Cleaning, Analysis, and Visualization
  • Presentation of Findings
  • Introduction to Git and GitHub
  • Setting Up a GitHub Account
  • Basic Git Commands
    • git init, git add, git commit, git push
  • Collaborating on GitHub
    • Forking and Cloning Repositories
    • Pull Requests

Placement Assistance

  • Task management 
  • Communication Skills
  • Presentation Skills
  • Writing and Drafring Skiils
  • Resume Prep
  • LinkedIn 
  • Job Hunting & outreaching
  • Interview Preparation
  • Mock Inteviews

Eligibility

Eligibility Criteria - Any Graduate

Fresher / Professionals

Coding Knowledge not Required for Course

No prior coding knowledge is required.

which degree Required icon

Any Degree - B. Tech, BSc, B.Com, BBA, etc.​

Can IT and Non-IT candidate can do this Course icon

All IT & Non-IT Branches - CS, EE, Civil, Mech, etc

Job Roles

many More..

Job Roles after IT training

Student Reviews

Thousands of positive review from our past students

Our Training Methodology

STAD Solution's comprehensive training methodology
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FAQs

For learning data analytics, one must learn Excel, SQL, Python, and Power BI via project-based training, and STAD is the right solution for that.

The best institute is one providing knowledgeable trainers, practical projects, and placement assistance.

Subjects included are Excel, SQL, Python, Power BI, data visualization, and practical projects.

Anyone, fresher, graduate, professional, or with any years of experience, can enroll themselves.

Time taken by the data analytics course ranges from 2 months to 6 months.

The skills that you will learn include data cleansing, data visualization, SQL, Python, and business analytics.

Yes, data analytics is in high demand in different fields like IT, finance, healthcare, and business sectors.

Yes, all of the institutes will be able to help you with securing placements in data analytics.

Certificates

Internship Certificate
Course Certificate
AI Certificate

Curriculum

What is Data Analytics?
Importance of Data Analytics in Business
Types of Data Analytics: Descriptive, Diagnostic, Predictive, Prescriptive

Basic Functions and Formulas
Arithmetic Operations
Statistical Functions
Data Cleaning and Preparation
Removing Duplicates
Data Formatting
Data Visualization
Charts and Graphs
Conditional Formatting
Pivot Tables and Pivot Charts
Creating and Analyzing Pivot Tables

Understanding Databases
Basic SQL Commands : SELECT, INSERT, UPDATE, DELETE
Filtering Data
Joins and Subqueries
Joins and Subqueries
INNER JOIN, LEFT JOIN, RIGHT JOIN
Writing Subqueries

Python Basics
Syntax and Data Types
Control Structures (Loops and Conditionals)
Working with Libraries
Installing Libraries (pip)
Introduction to Jupyter Notebook

DataFrames and Series
Data Cleaning and Preparation
Handling Missing Data
Filtering and Selecting Data
Data Aggregation and Grouping
Merging and Joining Data Frames

Introduction to NumPy
Arrays and Their Properties
Array Operations
Mathematical Functions
Statistical Functions

Data Visualization with Power BI
Introduction to Power BI
Power BI Desktop vs. Power BI Service
Data Importing and Preparation
Connecting to Data Sources
Data Transformation using Power Query
Creating Reports and Dashboards
Visualizations: Charts, Tables, Maps
Slicers and Filters

Introduction to Tableau
Connecting to Data Sources
Creating Basic Visualizations
Bar Charts, Line Charts, Scatter Plots
Building Dashboards
Combining Visualizations
Interactivity in Dashboards

Real-world Data Analysis Project
Applying Skills Learned
Data Collection, Cleaning, Analysis, and Visualization
Presentation of Findings

Introduction to Git and GitHub
Setting Up a GitHub Account
Basic Git Commands
Git init, Git add, Git commit, Git push
Collaborating on GitHub
Forking and Cloning Repositories
Pull Requests

Task management
Communication Skills
Presentation Skills

- Resume Prep
- LinkedIn
- Job Hunting & outreaching
- Interview Preparation
- Mock Interviews
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