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CoursesData Analytics And Bi Training
Data Analytics Certification Training in India
Data Analytics And Bi Training

Data Analytics Certification Training in India

Boost your career with our Data Analytics Course in India designed for beginners and professionals. Gain hands-on experience with industry tools, real-world projects, expert mentorship, and earn a recognized Data Analytics Certification with placement assistance.

5/5(4,890 Reviews)

Level

Advanced

Duration

16 Weeks

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AWS Logo
Capgemini Logo
Deloitte Logo
Genpact Logo
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Infosys Logo
Zoho Logo
Zelis Logo
Wipro Logo
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About Data Analytics Certification Training in India

Build a successful career in data with our comprehensive Data Analytics Course designed to meet current industry demands. Whether you're a student, working professional, or career switcher, this Data Analytics Training in India helps you master Excel, SQL, Python, Power BI, Tableau, and data visualization through practical, project-based learning.

Our Online Data Analytics Course offers flexible learning options, live instructor-led sessions, recorded lectures, and dedicated doubt support. Upon successful completion, you'll receive a Data Analytics Certification that validates your skills and enhances your job prospects. If you're looking for the Best Data Analytics Course with real-world projects, expert trainers, and placement assistance, this program provides the knowledge and practical experience needed to confidently begin your journey as a data analyst.

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Training Plan

01
About trainer

About trainer

Working professional who is carrying more then 10 years of industry experience.

02
Decks & Updated Content

Decks & Updated Content

Access to updated presentation decks shared during live training sessions.

03
e-Book

e-Book

E-book provided by TechPratham. All rights reserved.

04
Assignments & MCQs

Assignments & MCQs

Module-wise assignments and MCQs provided for practice.

05
Video Recording

Video Recording

Daily Session would be recorded and shared to the candidate.

06
Projects

Projects

Live projects will be provided for hands-on practice.

07
Resume Building

Resume Building

Expert-guided resume building with industry-focused content support.

08
Interview Preparation

Interview Preparation

Comprehensive interview preparation with real-time scenario practice.

Course Curriculum Overview

Introduction to Data Analytics

Build a strong foundation in data analytics by understanding how data is collected, processed, analyzed, and transformed into valuable business insights. Learn the role of a data analyst and explore the complete analytics lifecycle.

What is Data Analytics?
Types of Data Analytics
Data Analytics Lifecycle
Role of a Data Analyst
Business Intelligence Basics
Data-Driven Decision Making

Microsoft Excel for Data Analytics

Master Microsoft Excel for data organization, analysis, and reporting. Learn advanced formulas, data cleaning techniques, Pivot Tables, and dashboard creation used by data analysts across industries.

Data Formatting
Sorting & Filtering
Conditional Formatting
VLOOKUP, XLOOKUP & INDEX-MATCH
Pivot Tables & Pivot Charts
What-If Analysis
Dashboard Creation
Data Cleaning Techniques

SQL for Data Analytics

Learn SQL from the ground up to retrieve, manage, and analyze data stored in relational databases. Gain practical experience by writing queries used in real-world business environments.

DBMS & RDBMS
SQL Syntax
Aggregate Functions
GROUP BY & HAVING
Joins
Subqueries
Constraints
Window Functions
Common Table Expressions (CTE)

Statistics for Data Analytics

Develop a solid understanding of statistical concepts that help analyze trends, identify patterns, and make data-driven business decisions with confidence.

Mean, Median & Mode
Variance & Standard Deviation
Probability
Sampling Techniques
Hypothesis Testing
Correlation Analysis

Python Programming

Learn Python programming from beginner to intermediate level and understand how it is used to automate tasks, manipulate data, and perform analytical operations.

Python Basics
Variables & Data Types
Operators
Conditional Statements
Loops
Functions
Tuples
File Handling
Object-Oriented Programming

Python Libraries for Data Analysis

Work with industry-standard Python libraries to clean, manipulate, analyze, and visualize data while solving real-world analytical problems.

NumPy
Pandas
Data Cleaning
Data Aggregation
Exploratory Data Analysis (EDA)
Seaborn
Plotly
Feature Engineering Basics

Power BI

Create interactive dashboards and business intelligence reports using Microsoft Power BI. Learn to transform raw data into meaningful visual insights for better decision-making.

Power BI Desktop
Data Import
Power Query Editor
Data Transformation
Data Modeling
Relationships
DAX Fundamentals
KPI Cards

Tableau

Master Tableau to design visually appealing dashboards and transform complex datasets into actionable business insights through interactive visualizations.

Tableau Interface
Connecting Data Sources
Data Blending
Parameters
Filters
Groups & Sets
Interactive Dashboards

Data Cleaning and Data Wrangling

Learn techniques to clean, transform, organize, and prepare raw data for accurate analysis, reporting, and machine-readable processing.

Missing Values Handling
Duplicate Removal
Outlier Detection
Data Transformation
Data Standardization
Feature Scaling
Data Merging

Exploratory Data Analysis (EDA)

Analyze datasets using statistical techniques and visualizations to discover hidden trends, patterns, correlations, and meaningful business insights.

Univariate Analysis
Bivariate Analysis
Multivariate Analysis
Correlation Matrix
Heatmaps
Histograms
Scatter Plots

Business Analytics and Reporting

Understand how organizations use analytics to solve business problems and communicate findings effectively through reports and dashboards.

Business Metrics
KPI Development
Data Storytelling
Business Dashboards
Executive Reporting
Report Automation
Case Studies

Real-Time Projects

Gain practical exposure by working on real-world datasets and industry-based projects that strengthen your portfolio and improve your problem-solving skills.

Sales Analytics Dashboard
HR Analytics
Customer Churn Analysis
E-commerce Analytics
Marketing Campaign Analysis
Financial Analytics
Retail Analytics

Resume Building and Interview Preparation

Prepare for successful job placements with professional resume development, interview preparation, portfolio building, and career guidance from industry experts.

Resume Building
ATS-Friendly Resume
LinkedIn Profile Optimization
GitHub Portfolio
Mock Interviews
HR Interview Preparation
Aptitude Training

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Additional Program Highlights

Learning Materials

Comprehensive study materials and resources

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Resume Writing

Professional resume building session

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Interview Preparation

Master your interview skills

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Live Project Demo

Real-world project demonstrations

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Upcoming Batches

Can't find a batch you were looking for?

Eligible Candidates for this Training

IT Professionals

Non-IT Career Switchers

Fresh Graduates

Career Opportunities After Course

Data Analyst

Business Analyst

Business Intelligence (BI) Analyst

Key Projects

Industry Oriented Projects

Google

GoogleSearch Insight Optimizer


Scenario: Analyzed large scale search and ad data to uncover user behavior trends improve campaign targeting accuracy and build dashboards for strategic decisions

Live Work:

  • Built BigQuery data models
  • Designed Looker KPI dashboards
  • Created Python trend analysis
Outcome: Improved ad targeting and ROI growth
Amazon

AmazonRetail Demand Forecast Hub


Scenario: Developed predictive analytics models using sales inventory and customer data to forecast demand reduce stock gaps and support supply chain planning

Live Work:

  • Built demand forecasting model
  • Cleaned data using SQL
  • Automated weekly KPI reports
Outcome: Reduced stock outs and excess cost
Meta

MetaSocial Engagement Metrics Lab


Scenario: Processed social media interaction data to measure engagement optimize content reach and provide insights for data driven marketing strategies

Live Work:

  • Analyzed engagement patterns
  • Built Power BI dashboards
  • Created audience segmentation
Outcome: Increased campaign engagement rate
Microsoft

MicrosoftCloud Usage Intelligence


Scenario: Evaluated cloud platform usage data to track performance trends optimize resource allocation and support enterprise decision making

Live Work:

  • Modeled Azure usage data
  • Designed executive dashboards
  • Automated cost analysis
Outcome: Optimized cloud cost efficiency
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Our Success Mantra

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Commitment

  • Ensuring quality training every day

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Fulfillment

  • Meeting learning goals with confidence

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Accomplishment

  • Students achieving industry-ready expertise

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Beyond Courses:

Additional Support We Provide

24/7 Support

LinkedIn Profile

Resume Writing

Alumni Sessions

Interview Preparation

Live Projects

What are the prerequisites to join a Data Analytics Course?

What will I learn in a Data Analytics Course?

How long does it take to complete a Data Analytics Course?

Is Data Analytics a good career option in India?

Which tools are covered in a Data Analytics Course?

Do I need programming knowledge to learn Data Analytics?

What is Data Analytics, and why is it important?

What are the different types of Data Analytics?

What is the difference between Data Analytics and Data Science?

What is SQL, and why is it important for Data Analysts?

What is the difference between INNER JOIN and LEFT JOIN in SQL?

What is Data Cleaning, and why is it necessary?

Data Analytics Certification Details

Data Analytics Certification validates your knowledge of data analytics fundamentals, data collection, data cleaning, data visualization, statistical analysis, SQL, Python, Microsoft Excel, Power BI, Tableau, and real-world business analytics concepts. This certification helps learners build a strong foundation in data analytics and prepares them for entry-level and mid-level roles in the Data Analytics, Business Intelligence, and Data-Driven Decision Making domains.

Certification Details

Exam Marks: Total 100 Marks

Passing Criteria: Minimum 60% Required

Exam Pattern: Multiple Choice Questions (MCQs), Scenario-Based Questions, Data Interpretation, SQL Queries, Excel-Based Analysis, Dashboard Creation, and Business Case Study Assessments

Eligibility: Suitable for Students, Freshers, Graduates, Career Changers, and Working Professionals

Certification Fees: Fees may vary depending on the training program and institute policies

Exam Format: Online or Offline Assessment with Industry-Oriented Case Studies, Practical Data Analysis Tasks, Dashboard Development, and Analytical Problem-Solving Evaluation

Conclusion

The Data Analytics Certification enables learners to demonstrate their analytical thinking, technical expertise, and practical data analysis skills in a professional environment. The certification validates proficiency in Microsoft Excel, SQL, Python, Power BI, Tableau, data visualization, statistical analysis, and business reporting techniques. It serves as a valuable credential for aspiring Data Analysts, Business Analysts, BI Analysts, and Reporting Analysts, helping improve career opportunities across industries such as IT, Banking, Finance, Healthcare, E-commerce, Retail, Manufacturing, and Consulting.

Industry-Recognized Certification

Certificate
Data Analytics Certification

News Highlights

TechPratham Introduces Hire-Train-Deploy Model to Transform HR & ERP Talent in the AI Era
TechPratham Empowering Future Professionals Through AI-Focused HR & ERP Training

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