Data Science & AI
Introduction to Data Science
A beginner-friendly 24-hour introduction to data science tools, workflow and careers
- Duration
- 24 hours
- Format
- Live online
- Modules
- 9 modules
- Certificate
- On completion
- ✓24 hours of live online instructor-led training in scheduled batches
- ✓Understand the data science lifecycle and the roles in a data team
- ✓First hands-on steps in Python, spreadsheets-to-code thinking and simple SQL
- ✓Basic statistics, charts and a first predictive model
- ✓Honest guidance on which learning path to take next
- ✓Assure Success course-completion certificate
About the course
What this course covers
Introduction to Data Science is designed for people who are curious about data careers but have not yet decided where to start. In 24 hours you get an overview of the field, a working feel for the core tools and enough hands-on practice to know whether you enjoy this kind of work.
You learn how a data science project flows from a business question to data, analysis, modelling and communication. You try Python in notebooks, query a small database with SQL, make charts, calculate basic statistics and train a simple prediction model. The course also explains the difference between data analyst, data scientist, data engineer and AI engineer roles, and what each typically requires, so you can plan your next step.
This is an introductory course with no external exam. You complete a short project and receive an Assure Success course-completion certificate.
Who should attend
- ● Students and fresh graduates exploring data careers
- ● Working professionals considering a switch to analytics or data science
- ● Managers who work with data teams and want to understand the work
- ● Excel users who want to see what comes after spreadsheets
- ● Anyone deciding between data analytics, data science and AI learning paths
Prerequisites
- ● No programming or statistics background required
Key skills
Skills you will walk away with
Data science lifecycle
Describe the stages from problem definition to deployment and monitoring.
Role awareness
Tell apart data analyst, data scientist, data engineer and ML engineer responsibilities.
Basic Python
Run simple Python code and load a dataset using pandas in a notebook.
Simple SQL
Select, filter, sort and aggregate rows from a table.
Descriptive statistics
Interpret averages, spread, distributions and correlation.
Data visualisation
Create and read basic charts that answer a question.
Curriculum
Module-by-module syllabus
9 modules · 36 topics · 24 hours
1Module 1: What Is Data Science?4 topics ▾
Learning objective: Understand the field and its roles.
- ▸ Data analytics vs data science vs AI
- ▸ Job roles and skills map
- ▸ Examples from banking, retail and healthcare
- ▸ Lifecycle of a data project
2Module 2: Data Basics4 topics ▾
Learning objective: Know the types and sources of data.
- ▸ Structured, semi-structured and unstructured data
- ▸ Rows, columns, keys and tables
Schedules
Upcoming live batches
Enroll now and choose your batch dates
Send an enquiry and we'll reserve your seat in the next batch.
Certification
How you get certified
- 1Enrol in a scheduled live batch and receive the setup guide
- 2Attend sessions and complete the practice tasks
- 3Submit the mini-project for review
- 4Meet the attendance and assessment criteria for your batch
- 5Receive your Assure Success course-completion certificate
Career outcomes
Roles this opens up
Entry-level Data Analyst (after follow-on training)
₹3.5–7 LPA (approx.)Starting role once you add SQL, Excel and a BI tool.
Business / Operations Analyst
₹3.5–8 LPA (approx.)Uses data to track and improve business processes.
Junior Data Scientist (after follow-on training)
₹5–10 LPA (approx.)Reached after Python, statistics and machine learning courses.
Salary ranges are approximate figures for India and vary by city, company and experience.
Why this certification is worth it
Low-risk way to start
A shorter course helps you test your interest before committing to a longer programme.
Clear roadmap
You leave with a personal learning path based on your background and goals.
Hands-on from session one
Why Assure Success
Learn it once, pass it once
Trainers from the field
Every session is led by a practitioner who uses this material at work.
Batches that fit your week
Weekday and weekend batches in IST, scheduled for working professionals.
Exam-style practice
Practice questions and, where available, a full simulator free with the course.
Exam voucher help
Discounted vouchers and step-by-step help booking your exam.
Human support
WhatsApp support Mon–Sat, 9 AM–8 PM IST — a person answers.
Pay your way
UPI, cards, netbanking and EMI in India; international cards accepted.
FAQs
Questions learners ask us
Q.Can I get a data science job after only this course?
Realistically no. It is an introduction. Most roles also need deeper Python, SQL, statistics and a project portfolio, which longer courses build.
Q.Is coding mandatory for data science?
For data scientist roles, yes, mainly Python and SQL. For some analyst roles, Excel, SQL and a BI tool are the main skills. This course shows you both sides.
Q.I am weak in maths. Should I worry?
Not at this stage. The course uses simple examples. Later courses explain the maths in more depth when needed.
Q.Which course should I take after this?
For analyst roles: SQL for Data Analytics plus Power BI or Tableau. For data scientist roles: Python for Data Science, then Data Science with Python or Machine Learning with Python.
Q.Is there an exam?
No. You get an Assure Success course-completion certificate on finishing the course and mini-project.
Q.What laptop do I need?
Any laptop that runs a modern browser works, since we use Google Colab.
Is the pace slow for someone who already knows Python?
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Introduction to Data Science