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Data Analytics And Bi Training
Data Analytics Certification Training
4.5/5

Level

Advanced

Duration

10 weeks

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What is Data Analytics Certification Training?
Jast tech offers a practical Data Analytics course designed for beginners and professionals, helping you master Excel, SQL, Python, and BI tools through real hands-on work. The training focuses on real datasets, dashboards, and essential statistics to build strong analytical thinking. You learn step-by-step with guided practice that makes complex concepts easy to understand. By the end, you gain confident, job-ready skills to start a successful career as a Data Analyst.”

Job Roles You Can Achieve

After completing this course

  • Solutions Architect
  • Technical Consultant
  • Implementation Specialist
  • System Administrator
  • IT Professional

Data Analytics Certification Training Curriculum

1
Module 01
Introduction to Data Analytics
Build a strong foundation by understanding what data analytics is, how it works, and where it’s used in real life.
What is Data Analytics?
Types of analytics: Descriptive, Diagnostic, Predictive, Prescriptive
Data Analyst vs Data Scientist vs Data Engineer
Real-world use cases across industries
Analytics project lifecycle
2
Module 02
Excel for Data Analysis
Learn to clean, analyze, and visualize data using Excel’s powerful functions and dashboards.
Excel fundamentals
Data cleaning & formatting
Formulas & functions (Lookup, Text, Date, Logic)
Pivot tables, pivot charts
Dashboard creation
Case study: Sales Analysis in Excel
3
Module 03
SQL for Data Management
Master querying databases to extract, filter, and analyze large datasets using SQL.
Introduction to databases
SQL basics: SELECT, WHERE, GROUP BY, ORDER BY
Joins: INNER, LEFT, RIGHT, FULL
Aggregations and functions
Subqueries, CTEs, Window Functions
Database normalization
Case study: Customer & Sales Database Analysis
Mini-project: Build and query a sample analytics database
4
Module 04
Python for Data Analysis
Use Python and key libraries like Pandas and NumPy to clean, process, and analyze data efficiently.
Python basics & setup (Anaconda/Jupyter)
Data types, loops, functions
Libraries: NumPy (arrays, operations) Pandas (data cleaning, merging, grouping) Matplotlib & Seaborn (visualizations)
Exploratory Data Analysis (EDA)
Data preprocessing techniques
Case study: Retail sales dataset analysis
5
Module 05
Statistics & Probability for Data Analysis
Understand essential statistical concepts that power decision-making and analytical insights.
Mean, Median, Mode, Variance, Standard deviation
Probability basics
Normal distribution
Hypothesis testing (Z-test, T-test, ANOVA)
Correlation & Covariance
Confidence intervals

Related Courses

Training Roadmap

Seven intentional milestones — from first session to dream job.

Onboarding

01
  • Meet your industry mentor
  • Define your goals
  • Skill gap assessment

Core Learning

02
  • Live interactive classes
  • AI-curated content
  • Recorded sessions

Hands-on Practice

03
  • Weekly assignments
  • MCQ evaluations
  • Module quizzes

Real Projects

04
  • 3 live industry projects
  • Portfolio building
  • Case studies

Mentorship

05
  • 1:1 doubt sessions
  • Peer collaboration
  • Expert feedback

Certification

06
  • Exam preparation
  • Practice dumps
  • Industry-recognised certificate

Career Launch

07
  • Resume crafting
  • Mock interviews
  • Job placement support

Key Projects

Hands-on experience with real-world scenarios designed for mastery.

Project 1: Sales Performance Insights Dashboard
This project focuses on analyzing a multi-region sales dataset to uncover trends and product performance. You will clean and structure raw data to prepare it for analysis. An interactive dashboard will be created using Power BI/Tableau to highlight key KPIs. The final output provides clear insights and recommendations to boost overall sales growth
Customer Retention & Churn Prediction
In this project, you will explore customer behavior data to identify patterns in retention and churn. Using Python and SQL, you’ll clean, visualize, and analyze key drivers that influence churn. A simple machine learning model will be applied to predict churn probability. The project concludes with insights presented through charts and a concise findings summary.
Marketing Campaign Effectiveness Analysis
This project involves evaluating multiple marketing campaigns to understand performance and ROI. SQL and BI tools will be used to segment data, compare campaign outcomes, and measure impact. Visual reports will be created to highlight conversions, reach, and engagement levels. You will finalize the project by recommending strategies to improve future campaign results.

Available Course Schedules

Select a schedule that works best for you

Weekend

Starts

23 May 2026

Time

09:30 AM – 12:30 PM

Duration

10 weeks

Weekdays

Starts

25 May 2026

Time

07:00 AM – 09:00 AM

Duration

10 weeks

Weekend

Starts

30 May 2026

Time

02:00 PM – 05:00 PM

Duration

10 weeks

Weekdays

Starts

01 Jun 2026

Time

08:00 PM – 10:00 PM

Duration

10 weeks

Need a custom schedule?

Our team will craft the perfect batch for you.

What Our Happy Clients Say

Real Feedback from our clients

What We Offer Beyond Courses

24/7 Support

Round-the-clock assistance

LinkedIn Profile

Professional profile building

Resume Writing

Expert resume crafting

Alumni Guidance

Mentorship from graduates

Interview Prep

Mock interviews & tips

Live Projects

Real-world experience

Review from Tejas Kumar

Tejas Kumar

Review from Sakshi Singh

Sakshi Singh

Review from Sanjay Patel

Sanjay Patel

Specialized Training Programs

JastTech For Corporates

JastTech Courses

Certification Details

Data Analytics Certification Training – Associate

  • Exam Name

    Data Analytics Certification Training – Associate

  • Exam Code

    SAA-C03

  • Duration

    130 minutes

  • Format

    Multiple Choice & Multi-Response

  • Passing Score

    720 (Scale: 100–1000)

  • Level

    Associate

Certificate of Completion

Prepare

Top Interview Questions

Curated questions with expert answers to help you ace your next interview.

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Support

Frequently Asked FAQs

Can't find what you're looking for? Reach out to our support team anytime.

What is the Data Analytics Certification ?
It is a practical, job-focused training program that teaches Excel, SQL, Python, Power BI, and essential analytics skills needed to work as a Data Analyst.
What career roles can I apply for after completing the course?
You can become a Data Analyst, Business Analyst, BI Analyst, Reporting Analyst, or Junior Data Scientist.

The support team was very cooperative and responsive. They made sure all doubts were cleared without delay. Great experience overall.

Vedant Shinde
Vedant Shinde

I had a great experience with the RF Circuit Design course. Thanks to the teaching staff for such a well planned and structured curriculum it really helped me clear my technical certification for my job.

Irfan Shah
Irfan Shah

I enrolled in the Post-Silicon Validation Certification Training at JastTech and found it quite different from typical courses. They focus on debugging techniques and real chip-level scenarios, which gave me a better idea of how things work.

Gayatri Sonawane
Gayatri Sonawane

One thing I really liked about the Data Analyst course at JastTech is their focus on consistency. Regular sessions and tasks help you stay on track and build a daily learning habit. Also, they provide recordings after live sessions, which help in revision.

Sanmitra Kamble
Sanmitra Kamble

I joined JastTech for the DFT course a few months back. At first, I wasn’t sure what to expect, but the classes turned out to be really helpful. The teaching is simple and not too complicated, which helped me keep up.

sachin kumar
sachin kumar

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