analytics foundation

DATA ANALYTICS AI COURSE
WITH CERTIFICATION &
PLACEMENT

An extensive industry-relevant Data Analytics course with Placement

Assistance!

Start Date

26th June 2026

Duration

6 Months

Time

Sunday, 10 AM - 1 PM

Program

Master the future of technology with our Data Analytics & AI Course designed to build real-world skills in data analysis, artificial intelligence, and business insights. Gain hands-on experience, industry-recognized certification, and dedicated placement assistance to kickstart your successful career in the tech industry.

Expert Guidance

Learn from Industry Professionals

Practical Training

Work on Live Industry Projects

Request a Call Back

ANALYTICS FOUNDATION ACADEMY

Free short courses to gain

Industry-relevant skills.

Start your online learning journey at Analytics Foundation Academy for free with our short-term basic courses across various in-demand domains.

Comprehensive Programme Curriculum

This program builds practical skills in Data Analytics and AI through hands-on projects, industry-focused training, and real-world learning experience.

  • CMOS ASIC Design Flow

  • MOS Device Physics

  • CMOS Inverter

  • Combinational and Sequential Logic Gates

  • Introduction to Linux

  • Scripting VLSI

  • VLSI Design Flow

  • RTL Coding and Design Styles

  • Logic Synthesis Concepts and Optimization

  • Static Timing Analysis and Timing Concepts

  • Power-Aware Synthesis

  • Scan Chain Insertion, ATPG & BIST

  • Fault Models and Fault Coverage Metrices

  • Soft Errors, Reliability & Resilience in Nano-Scale VLSI

 

Learners apply theoretical concepts to real-world VLSI design challenges, developing practical skills, EDA tool proficiency, and industry-ready problem-solving capability.

  • Combinational and Sequential CMOS Circuit Design
  • Low Power I/O Circuit Design
  • Power Management IC (PMIC) Design
  • Clock Tree Synthesis and Static Timing Analysis
  • Design for Test (DFT) and Automatic Test Pattern Generation
 
 
  • CMOS ASIC Design Flow

  • MOS Device Physics

  • CMOS Inverter

  • Combinational and Sequential Logic Gates

  • Introduction to Linux

  • Scripting VLSI

  • VLSI Design Flow

  • RTL Coding and Design Styles

  • Logic Synthesis Concepts and Optimization

  • Static Timing Analysis and Timing Concepts

  • Power-Aware Synthesis

  • Scan Chain Insertion, ATPG & BIST

  • Fault Models and Fault Coverage Metrices

  • Soft Errors, Reliability & Resilience in Nano-Scale VLSI

 

Learners apply theoretical concepts to real-world VLSI design challenges, developing practical skills, EDA tool proficiency, and industry-ready problem-solving capability.

  • Combinational and Sequential CMOS Circuit Design
  • Low Power I/O Circuit Design
  • Power Management IC (PMIC) Design
  • Clock Tree Synthesis and Static Timing Analysis
  • Design for Test (DFT) and Automatic Test Pattern Generation
 
 

Tools &

Gain practical, job-ready skills with hands-on training using modern industry tools and real-world projects.

Need Help?

Get a personalized guidance

Or reach us at:

(+91) 721 765 3931

HOW IT WORKS

- OUR HIRING PARTNER

Frequently Asked Questions

Courses for data analyst are designed to help analytics aspirants and professionals to learn the tools and techniques to analyze data, predict outcomes, and visually represent them.

There are four main components to study: 

1. Understanding Excel and PowerBI

2. Exploratory data analysis and data management

3. Python for data analytics and data visualization

4. Data analytics applications – industries and functions

These four major components will help you analyze data better and create accurate data prediction models to aid business decision-making.

One of the best data analytics courses is our Data Analytics certification course. We are touted as one of the premium institutes in India that offers courses in data science, AI, ML, and Data analytics for business.

Our course curriculum is designed in collaboration with global partners is updated according to the present market scenario.

For additional learning, our team of experts will continue to share free and easy-to-access resources and reading materials for easy upskilling. Meanwhile, you can read our blogs on Data Analytics and related topics.

The ideal data analytics certification course duration is 6 months. If you can finish all self-learning materials in less time, you can fast-track your learning. Ideally, 3 months will be a tough timelines for most candidates.

The PG Diploma course is 12 months. Since it covers advanced topics, you will have to complete the course in a year’s time. There is no way you can shorten the time span.

The certification course is for anyone looking to start a career in analytics. A background in science, mathematics, or computer science can help but is not mandatory. Our course curriculum is designed to help novices get on board quickly.

The Post Graduation course applies to students who have completed the certification or equivalent degree course. It is more advanced and requires basic knowledge of the core data analytics concepts.

Yes. Training in data analysis and data visualization can help you build a lucrative career in multiple job roles. You can become a business analyst, a data engineer, cyber security lead, and more. Your knowledge in data analytics can find you a role in various industries like e-commerce, aviation, finance, medical, agriculture, genomics, cyber security, and more.

If you upgrade to our PG course after completing our certification course, your final degree is equivalent to a master’s degree. However, MBA is different from data analytics.

While both are masters, the respective subjects are different. MBA covers the administrative side of a business, while data analytics is more at the core of business decision-making based on customer/client preferences and intents.

Yes. Skilled data analysts are core to any business. Statistics show businesses are more driven by the need to create a holistic buyer/client experience. They need data analysts who can read between the data and help predict buyer behaviors, market trends, and business outcomes.

Data Analytics involves analyzing data to draw conclusions and address certain issues. While Business Analytics is focused on using data to optimize corporate performance and decision-making.

Here, at AnalytixLabs, we have both the Business Analytics 360 course and the Data Analytics PG course to help you learn from scratch and excel in the field.

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