Break into Data Science with Job-Ready Skills

Key Highlights

136 Hours of Expert-Led Training
Live virtual classes, guided labs and continuous mentorship across four months
Impactful Communication
Design compelling dashboards and visual narratives to communicate insights with clarity and impact
Top Industry Tools
Excel, Python, SQL, Tableau and Power BI — the core skillset for analytics roles
Real-World Capstone Project
End-to-end analytics solution demonstrating your ability to deliver outcomes
Hands-on Job-Ready Skills
Practice through real datasets, daily exercises and industry-oriented guided projects and capstone
Career Support
Personalized guidance for interviews, portfolios and AI-aligned career pathways
Strong Statistical Thinking
Confidently analyze and interpret data and build statistical models for regression and classification problems for data-driven decisions

Is This Program Right for You?

This program is suited for people who want to move into the world of data science or are just beginning to build their careers in analytics. This program is ideally suited for you if you are:
A working professionals transitioning into data analytics
A recent graduate looking to launch their career in data science or data analytics
An entrepreneur or business leader wanting to make data driven decisions
One who wants to learn how data can unlock insights and opportunities
Curious about analytics but unsure where to start

Learning Outcomes

1.Perform Data Cleaning and Preparation
  • Identify and resolve missing, inconsistent and duplicate data
  • Apply transformation, encoding and scaling techniques
  • Ensure data quality for accurate downstream analysis
2.Analyze Data Using Statistics
  • Apply descriptive and inferential statistical methods
  • Validate findings with hypothesis testing and confidence intervals
  • Interpret outcomes to guide data-driven decisions
3.Conduct Exploratory Data Analysis (EDA)
  • Visualize trends, relationships and patterns in datasets
  • Use Tableau, Power BI and Python visualization libraries
  • Present insights with clarity for business stakeholders
4.Build Basic Predictive Analytics Models
  • Implement regression and classification models in Python
  • Assess model performance with diagnostic metrics
  • Apply improvements using feature selection and transformation
5.Query & Manage Data Using SQL
  • Write SQL queries for CRUD operations and data aggregation
  • Work with joins, functions and subqueries
  • Access and prepare data efficiently from relational databases

Program Overview

Data Analytics is one of the fastest-growing career paths. Companies across industries need talent that can analyze data and drive smarter decisions. This professional certificate program gives you job-ready Data Analytics skills, making it ideal for fresh graduates and career changers looking to enter data science and analytics roles.In just 3 months, you’ll learn the complete analytics workflow using Excel, Python, SQL, Tableau and Power BI. You’ll clean and explore real datasets, apply statistics and predictive techniques, and present insights through impactful dashboards and reports.With live instructor-led training, hands-on labs and an industry-aligned capstone project, you’ll build a strong portfolio and the confidence to pursue roles such as Data Analyst, Business Analyst, and Junior Data Scientist.
What you will learn
Across three months of intensive learning, you will build strong expertise in:
Data Foundations and Excel Skills
  • Handle structured and unstructured data
  • Clean, transform and validate data for analysis
  • Use Excel efficiently for exploration and reporting
Statistics for Data Analysis
  • Apply descriptive and inferential statistical methods
  • Test hypotheses and validate conclusions
  • Interpret results to support data-driven decisions
Python for Analytics
  • Use Python data structures and control flows
  • Work with NumPy, Pandas and visualization libraries
  • Perform data preprocessing and EDA programmatically
Dashboards and Visual Storytelling
  • Build interactive dashboards in Tableau and Power BI
  • Apply visualization best practices for clarity and impact
  • Present insights tailored to stakeholders
Predictive Analytics and Machine Learning Basics
  • Implement regression and classification techniques
  • Evaluate model performance with diagnostic metrics
  • Apply feature selection and transformation for improvement
SQL and Data at Scale
  • Query and manipulate data in relational databases
  • Use joins, aggregations and built-in functions
  • Understand big data platforms and distributed processing concepts

Proof of Mastery

When you complete this program, you won’t just understand data analytics — you will have the clear evidence of your ability to extract insights and drive business decisions with data, such as:
Portfolio of guided projects demonstrating your skills in Excel, Python, SQL and visual analytics
Industry-aligned capstone project applying the complete analytics lifecycle from data cleaning to insights and recommendations
Interactive dashboards built in Tableau and Power BI that communicate findings with clarity
GitHub / project repository showcasing your code, data workflows and analysis reports
End-to-end statistical and predictive analysis including model building, validation and communication of actionable insights

Career Support

Your career matters to us as much as your learning. That’s why, at Artiq Insights, we pair rigorous training with focussed career support. We help you navigate the job market with clarity and confidence as you move towards the roles you aspire to.
Personalized Career Mentorship
Work closely with our experienced mentors to navigate career paths, identify your strengths, and set achievable goals. Through honest feedback, direction, and continuous support, they help you develop the clarity and confidence to shape a strong and purposeful career with conviction.
Personalized Career Mentorship
Personal Branding and Professional Portfolio
Present your technical and analytical skills with a strong résumé and LinkedIn profile, developed with help from our mentors. They also support you in building a professional portfolio of real-world projects and case studies that you can share with confidence.
Personal Branding and Professional Portfolio
Access to Our Hiring Network
We connect you with trusted hiring partners, recruiters, and placement agencies who regularly seek skilled professionals. You also gain the opportunity to work with us on select projects, giving you practical exposure and experience that align with your abilities and aspirations.
Access to Our Hiring Network
Interview Accelerator
Interviewing can be challenging, but you won’t have to face it alone. Through simulated interviews, feedback, and guidance from professionals, you’ll refine your technical, and behavioral responses. We help you step into the hiring process articulate, composed, and ready to demonstrate your mastery.
Interview Accelerator
Long-term Support
Your journey doesn’t end with graduation. Whether you’re preparing for your next role, switching domains, or aiming higher, we remain a committed partner in your long-term growth. Even after you complete the program, you will continue to receive access to class recordings, the LMS, and mentor and career support for a full year—ensuring you always have guidance when you need it.
Long-term Support

Faculty Profile

Srinivasa Varadharajan
PhD (Physics), 2002,
University of Missouri - Rolla, USA
Rajan is a passionate educator and innovator with over 25 years of teaching and research experience. His core philosophy is to strip down the layers and solve problems at their root, always seeking the essential truth of a challenge. With two books, dozens of publications, and a legacy of mentoring future academics worldwide, he prioritizes practical, human-centered innovations that make everyday life easier.
Seshasayee Sreenivasan
MS (Operations Research), 1987,
Case Western Research University, USA
Professor Seshasayee Sreenivasan is considered a teacher among teachers and a role model for many. With more than 40 years of academic and industrial experience, he brings with him a vast amount of knowledge and experience in statistics and optimization. He is a visiting faculty at many reputed institutions including IITM, IFMR and LIBA.
Siddhart Srivatsav Rajendran
PhD (Psychology), 2018,
University of Nevada, Reno, USA
Siddhart is a multifaceted researcher and teacher with equal footing in cognitive psychology and modern artificial intelligence. His research primarily focuses on color vision - both human and computational models. He is an excellent teacher with experience in teaching a wide spectrum of courses from Python and Statistics to advanced topics in AI and Agentic AI.

Video Testimonials

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Curriculum and Program Details

This program is structured to build your data analytics capability step-by-step, from foundational concepts to statistical modelling and communication. Each module combines expert-led instruction with hands-on practical sessions, ensuring you learn by doing. The curriculum is designed to help you grow into a confident, job-ready data analytics professional in just 3 months.
Overview of Data Analytics
Data Handling
Data Handling with Excel
Basic Statistics and Probability
Basic Statistical Tests
Python Data Types
Data Handling in Python
Python Modules for Data Analytics
Data Visualization Using Tableau
Microsoft PowerBI
EDA in Python
Regression
Classification
SQL
Big Data
Learning Format
  • Live Online Classes
  • Expert-Led Lab Sessions
  • Guided Projects and Capstone
  • One-on-One Technical and Career Guidance and Mentorship
Time Commitment
  • Duration: 130 hours over 3 months
  • Pacing: 10 hours per week
Tools and Technologies You Will Master
Assessments and Certification
  • End-of-module Assessments
  • Capstone Project Presentation and Defence
  • Portfolio-based Evaluation
  • Completion Certificate

Fee Details

Program Fees
(including GST): Rs. 30,000/-
Payment Flexibility
  • EMI options to support monthly planning
  • Eligible for corporate upskilling support (contact us for details)
Merit Scholarship
The top-performing learner in every cohort, meeting certain criteria, will receive a 30% scholarship. The award will depend upon the learner’s performance in assessments and projects, and consistent attendance.

How to Enroll

We make getting started simple — and we’re here to support you every step of the way. Because this is a serious, career-focused program, we guide each learner through a short consultation to ensure the program is the right fit for your goals.
Enrollment Process
  1. Submit Your Application
    Tell us a bit about your background, goals and why you want to master data analytics
  2. Personalized Career Consultation
    Talk to our team to clarify your goals, get your questions answered, and confirm program fit and readiness.
  3. Secure Your Seat
    Once accepted, complete your enrollment and join the next cohort.
What’s Included in Your Enrollment
  • 130 hours of live and guided learning
  • Mentorship and project support
  • Capstone guidance and review
  • Career coaching, mock interviews and portfolio support
  • Certificate upon successful completion
Simple Requirements
  • Basic programming knowledge recommended
  • Laptop capable of running AI tools
  • Commitment of 10–15 hours per week for classes and homework
If you are excited about building a career in AI, we are here to help you make it happen.

Take the first step. Book a quick consultation to confirm your fit and get all your questions answered.