+91 95534 06450
Info@akirait.com
Whatsapp Instagram Icon-facebook Icon-linkedin Youtube
Contact Us

Data Analytics Training Program

60 Hours

Instructor Led

Career Guidance

Become a job ready data analyst with hands-on labs, real world datasets, and a capstone analytics project, expert mentorship, and an industry aligned data analytics certification training program.

Download Brochure

About the Data Analytics Training Full Course

AKIRA Global Technologies Data Analytics Training Program takes learners from foundational analytics concepts to performing hands-on analysis using Excel, SQL, Python, and BI tools in just 60 hours. This data analytics course covers foundations of data analytics, Excel for data analytics, SQL for data analysis, statistics and probability for analytics, Python for data analytics, and data visualization and BI tools.

Whether you’re a fresher building an analytics foundation, a career switcher moving into analytics roles, or a working professional looking to upskill, this data analytics certification training program is hands-on, combining instructor-led sessions with practical labs and real world datasets across 30 sessions of 2 hours each.

This isn’t just a data analytics course on paper, it’s a practical, project based program that takes you from Excel dashboards to SQL queries to Python driven exploratory data analysis to interactive Power BI or Tableau dashboards. The program closes with an end to end capstone project, with options including sales analytics, HR attrition analysis, customer churn, or marketing ROI, so you finish with a portfolio ready project.

This program is ideal for freshers, career switchers, and working professionals moving into analytics roles. No prior coding experience is required, only basic computer literacy is needed to get started. The typical schedule runs 3 sessions per week over 10 weeks, with flexible pacing available for learners who need it.

Course Details Information
Duration 60 Hours (30 sessions x 2 hrs, over 10 weeks, 3 sessions/week, flexible pacing available)
Mode Instructor Led
Format Instructor-Led Sessions + Hands-on Labs + Real-World Datasets + Capstone Project
Level Beginner to Intermediate
Delivery Split 70% Hands-on (Assignments + Capstone Project) / 30% Quizzes and Participation
Certification Certificate of Completion + Portfolio-Ready Project (on 75% minimum attendance and 60% or higher overall score)
Tools Covered Microsoft Excel, SQL, Python (NumPy, Pandas, Matplotlib, Seaborn), Power BI or Tableau
Who Should Enroll?

Freshers

Learners who want a structured, hands-on foundation in data analytics from day one

Career Switchers

Anyone with basic computer literacy wanting a practical route into analytics

Working Professionals

Professionals looking to move into a dedicated data analytics role

What You'll Get

When you join Akira Global Technology’s Data Analytics Training Program, you get complete support at every step, from foundational concepts to a portfolio ready capstone project.

Training

  • Foundations & Excel for Data Analytics Training (12 Hrs)
  • SQL and Statistics for Analytics Training (16 Hrs)
  • Python for Data Analytics Training (14 Hrs)
  • BI Tools, Capstone and Career Readiness Training (18 Hrs)

Hands-on Experience

  • Hands-on Labs Using Real-World Datasets
  • Industry Aligned Tools (Excel, SQL, Python, Power BI/Tableau)
  • 1 End-to-End Capstone Analytics Project

Get Certified

  • Module Quizzes and Hands-on Assignments
  • Capstone Project With Final Presentation
  • Certificate of Completion on Meeting Attendance and Score Criteria

Portfolio and Project Work

  • Mini Project: Sales Performance Dashboard (Excel)
  • Project: Interactive Business Dashboard (Power BI/Tableau)
  • Capstone: End-to-End Analytics Project With Final Presentation

Career Guidance

  • Resume and Portfolio Building With Project Work
  • Common Interview Questions on SQL, Excel, and Case Studies
  • Mock Interview and Q&A Session

Practice Environment

  • Hands-on Labs on Real-World Datasets
  • Retail/E-commerce Database for SQL Practice
  • Real Datasets for Python Exploratory Data Analysis

Enroll Now - Get All These Benefits

Data Analytics Training Course Syllabus

Our data analytics training syllabus runs across 8 modules, moving from analytics foundations through Excel, SQL, statistics, Python, and data visualization with BI tools, before wrapping up with an end to end capstone project and a dedicated career readiness module.

Prerequisites:

  • Basic computer literacy
  • No prior coding experience required
  • A laptop with internet access to join the instructor led sessions and lab environment
Module Duration Topics Covered Tools/Project
Module 1: Foundations of Data Analytics 4 Hours
  • What is Data Analytics?
  • Descriptive, diagnostic, predictive, and prescriptive analytics
  • The analytics lifecycle: collect, clean, analyze, visualize, decide
  • Industry use cases in retail, finance, healthcare, and marketing
  • Analytics career paths and tools landscape
 –
Module 2: Excel for Data Analytics 8 Hours
  • Data cleaning: text functions, data validation, removing duplicates
  • Formulas: VLOOKUP/XLOOKUP, INDEX-MATCH, IF, nested logic, array formulas
  • PivotTables and PivotCharts
  • Dashboards using conditional formatting, slicers, and charts
 Mini Project:
Sales Performance Dashboard
Module 3: SQL for Data Analysis 10 Hours
  • Database basics, relational model, SQL syntax
  • SELECT, WHERE, ORDER BY, GROUP BY, HAVING
  • Joins (INNER, LEFT, RIGHT, FULL), subqueries, and CTEs
  • Window functions (RANK, ROW_NUMBER, LAG/LEAD), query optimization basics
 Hands-on:
Querying a Retail/E-commerce Database
Module 4: Statistics and Probability for Analytics 6 Hours
  • Descriptive statistics: mean, median, mode, variance, standard deviation
  • Probability distributions (normal and binomial)
  • Correlation versus causation
  • Hypothesis testing basics, confidence intervals, and A/B testing fundamentals
 –
Module 5: Python for Data Analytics 14 Hours
  • Python basics: variables, loops, functions, data structures
  • NumPy for numerical computing; Pandas for data wrangling, cleaning, merging, and grouping
  • Data visualization with Matplotlib and Seaborn
  • Exploratory data analysis on real datasets; intro to predictive modeling (optional linear regression)
 Hands-on:
Exploratory Data Analysis on Real Datasets
Module 6: Data Visualization and BI Tools 10 Hours
  • Power BI or Tableau, selected based on audience or organization preference
  • Connecting data sources and data modeling
  • Building interactive dashboards and reports
  • DAX basics (Power BI) or calculated fields (Tableau); storytelling with data and design principles
 Project:
Interactive Business Dashboard
Module 7: Capstone Project 6 Hours
  • End-to-end project: raw data to cleaning to SQL or Python analysis to BI dashboard
  • Project options: sales analytics, HR attrition analysis, customer churn, or marketing ROI
  • Peer review and instructor feedback
  • Final presentation session
 Capstone:
End-to-End Analytics Project
Module 8: Career Readiness 2 Hours
  • Resume and portfolio building with project work
  • Common interview questions on SQL, Excel, and case studies
  • Mock interview and Q&A session
 –
1 / 8

Capstone Project (Included)

Participants build and present an end to end analytics capstone project that includes:
✓ An end to end project moving from raw data to cleaning to SQL or Python analysis to a BI dashboard
✓ A choice of project options: sales analytics, HR attrition analysis, customer churn, or marketing ROI
✓ Peer review and instructor feedback throughout the project
✓ A final presentation session to showcase the completed project
✓ A portfolio ready project you can showcase to potential employers

Data Analytics Training Admission Process

1

Fill Inquiry Form

Share your details and course interest

2

Counselling Call

Speak with our admissions team about your goals and fit

3

Get Course Access

Receive login credentials and join the orientation session

Requirements

Eligibility Criteria: this is not required

  • Basic computer literacy is required; no prior coding experience is needed
  • Open to freshers, career switchers, and working professionals from any background
Success

Thank you! Form submitted successfully.

This field is required
This field is required
This field is required
  • DevOps Engineer Course
  • Data Engineering Course
  • Business Analyst Course
  • AI & Machine Learning Course
  • Salesforce Training Course
  • Generative AI Training Program
  • Cloud Computing Training Program
  • Cybersecurity Training Course
  • ServiceNow Training Course
  • Data Analytics Training Program
  • Tableau, Power BI & SQL Training Course
  • Other Akira IT Courses
This field is required

Learn From Data Analytics Industry Experts

DAT

Data Analytics Trainer

years of experience in Excel, SQL, Python, and BI tools. Expert in building dashboards, writing analytical queries, and running end to end analytics projects. Focuses on hands-on, project driven training to make students job ready.

Excel

SQL

Python

BI tools

Tools & Technologies You'll Master

file_type_numpy
Tableau Icon Streamline Icon: https://streamlinehq.com

Learning Outcomes

By the end of this Data Analytics Training program, participants will be able to:
✓ Explain core data analytics concepts and the analytics lifecycle
✓ Clean, organize, and analyze data using Excel and SQL
✓ Apply statistical methods, including hypothesis testing and A/B testing, to real problems
✓ Use Python with NumPy and Pandas to wrangle data and perform exploratory data analysis
✓ Build interactive dashboards and reports using Power BI or Tableau
✓ Complete and present an end to end analytics capstone project

Assessment & Certification

Module quizzes after each module (20% weight)
Hands-on assignments in Excel, SQL, Python, and BI tools (30% weight)
Capstone project with final presentation (40% weight)
Participation in labs, discussions, and peer reviews (10% weight)
Certificate of Completion issued on 75% minimum attendance and an overall score of 60% or higher
Testimonials

What Our Data Analytics Learners Say

"The SQL and Python modules gave me practical skills I use every day. The capstone project became the centerpiece of my portfolio."

Priya Nair

Working Professional, now Data Analyst

"I came in with zero coding experience. The way the course built from Excel into SQL and then Python made everything easy to follow."

Rohan Malhotra

Fresher, now Junior Data Analyst

"Strong hands-on focus throughout, especially the SQL database project and the Power BI dashboard work. I would have liked a bit more time on statistics, but the capstone helped a lot in interviews."

Ananya Bhatt

Career Switcher from Operations to Analytics

"The statistics and A/B testing module was exactly what I needed for my marketing ROI capstone project. The instructor made hypothesis testing simple to apply."

Vikram Sinha

Marketing Executive moving into Analytics

"Good structured program covering Excel, SQL, Python, and BI tools all in one track. The mini projects and capstone gave me real dashboards to show in interviews."

Sneha Reddy

Student, aspiring Data Analyst
FAQ'S

Frequently Asked Questions

The Data Analytics Training program duration is 60 hours, delivered as 30 sessions of 2 hours each, over 10 weeks, combining instructor-led sessions, hands-on labs, and real-world datasets.