Data Science for Professionals
Statistics, experimentation and predictive modelling applied to real business questions.
- ✓ Instructor-led live sessions, online or in Bengaluru
- ✓ Hands-on labs in every module
- ✓ Capstone project with trainer review
- ✓ Curriculum customisable for corporate teams
- ✓ Certificate of completion
Next batch: Mon, 23 Nov 2026 · 40 hours · 5 days
Analytics & BIData Science for Professionals
Duration: 40 hours · 5 days
Next batch: Mon, 23 Nov 2026
Format: Online live · Bengaluru classroom
Modules: 9 · Topics: 42
Level: Beginner to Intermediate
Fee: ₹17,999
Trusted by leading experts
Upcoming batches
Open batches for individuals; corporate batches on your dates.
| Programme | Starts | Mode | Schedule | Duration | |
|---|---|---|---|---|---|
| Data Science for Professionals | Mon, 23 Nov 2026 | Online live | Weekday | 5 days | Enquire |
| Data Science for Professionals | Sat, 23 Jan 2027 | Online live | Weekend (Sat) | 6 Saturdays | Enquire |
Soaring demand, and where it takes you
Organisations increasingly expect analysts and engineers to apply statistical thinking and predictive modelling to decisions.
Become an expert
Roles this programme prepares you for:
Become a Data Scientist
Builds models and runs experiments.
- Explore and visualise data effectively
- Apply core statistics and hypothesis tests
- Design and analyse A/B tests
About the course
Applied data science for business problems: exploratory analysis, statistics and hypothesis testing, A/B testing, regression and classification, and communicating results to decision-makers.
Statistics, experimentation and predictive modelling applied to real business questions.
Why should I attend?
Analysts with SQL and some Python
Engineers moving into data science
Product and marketing analysts
Researchers in business teams
Prerequisites
Basic Python or willingness to learn; high-school statistics
Level
Beginner to Intermediate
Delivery modes, duration and fee
Online live
Instructor-led virtual classroom; weekday (full-day) or weekend (Saturday) batches
Bengaluru classroom
In-person batches at our Bengaluru training venue
On-site at your office
Private corporate batch anywhere in India, scheduled around your teams
Blended
Live sessions plus guided self-paced labs and mentor check-ins
Duration: 40 hours · 5 days
Course fee (open batch): ₹17,999
Corporate / team batches: per-participant or flat batch pricing on request, based on group size, format and customisation.
What will you learn
- Explore and visualise data effectively
- Apply core statistics and hypothesis tests
- Design and analyse A/B tests
- Build regression and classification models
- Evaluate models with appropriate metrics
- Present findings and recommendations clearly
Skills you will gain
Statistics
Modelling
Communication
Tools and platforms covered
Python
pandas
scikit-learn
JupyterCourse curriculum
M01 The data science workflow
- Framing problems
- Data understanding
- Tools
- Business framing
- Ethics
🧪 Hands-on: Frame a business question
M02 Exploratory analysis
- Summaries
- Visualisation
- Data quality
- Feature relationships
- Missing-data patterns
🧪 Hands-on: Explore a dataset
M03 Statistics
- Distributions
- Confidence intervals
- Hypothesis tests
- Sampling
- Correlation vs causation
🧪 Hands-on: Test a business hypothesis
M04 Experiments
- A/B test design
- Sample size
- Analysis pitfalls
- Guardrail metrics
- Multiple testing
🧪 Hands-on: Analyse an A/B test
M05 Predictive modelling
- Regression
- Classification
- Cross-validation
- Tree-based models
- Evaluation metrics
🧪 Hands-on: Build and validate a model
M06 Communicating results
- Storytelling
- Uncertainty
- Recommendations
- Dashboards for results
- Executive summaries
🧪 Hands-on: Present findings
M07 Unsupervised learning
- Clustering
- Dimensionality reduction
- Segmentation use cases
- Interpreting clusters
🧪 Hands-on: Segment customers and profile each segment
M08 Time series and forecasting
- Trend and seasonality
- Baseline forecasts
- Evaluation
- Business use
🧪 Hands-on: Forecast monthly demand and explain uncertainty
M09 Capstone: data science project
- Framing
- Analysis and model
- Validation
- Presentation
🧪 Hands-on: Deliver an end-to-end project with a business recommendation
Hands-on projects
Business decision analysis
An end-to-end analysis with a model and a recommendation deck.
Why train with us
Built around your stack
Labs and examples adapted to the tools, cloud and data your team actually uses.
Practice-first
Every module ends in a lab, and the course ends with a reviewed capstone.
Practitioner-led
Delivered by Karthick Selvam and vetted specialist trainers from our network.
Visible progress
Attendance, lab completion and assessment results shared with your L&D team.
Certificate of completion
Participants who complete the labs and capstone receive a Learning Dots certificate of completion for Data Science for Professionals. [confirm certificate wording / sample image]
Learner reviews
“[Verified learner review for this course]”
“[Verified learner review for this course]”
Meet your trainer
Karthick Selvam
Founder · Data Engineering Corporate Trainer, Bengaluru
[Trainer bio, experience and areas of expertise]
Frequently asked questions
What maths is needed?
School-level maths is enough; concepts are taught practically.
Can the curriculum be customised for our team?
Yes. Modules, depth, duration and labs can be tailored to your stack and goals.
What delivery formats are available?
Online live instructor-led sessions, Bengaluru classroom, or on-site at your office.
How do we enquire or book?
Use the enquiry form on this page or the Enquire button next to any batch.
What does it cost?
The open-batch fee is ₹17,999 per participant plus GST. Corporate batches are priced on group size, format and customisation.
How long is the course?
40 hours · 5 days. Corporate batches can be split into half-day sessions.
A closer look
About this course
Applied data science for business problems: exploratory analysis, statistics and hypothesis testing, A/B testing, regression and classification, and communicating results to decision-makers.
What is Data Science for Professionals?
Statistics, experimentation and predictive modelling applied to real business questions.
Who this course is for
Analysts with SQL and some Python, Engineers moving into data science, Product and marketing analysts, Researchers in business teams.
What you will be able to do
Explore and visualise data effectively. Apply core statistics and hypothesis tests. Design and analyse A/B tests. Build regression and classification models. Evaluate models with appropriate metrics. Present findings and recommendations clearly.
Career paths
Roles this course supports include Data Scientist, Decision Scientist, Product Analyst. Organisations increasingly expect analysts and engineers to apply statistical thinking and predictive modelling to decisions.
Related courses
Advanced SQL for Data Professionals
Window functions, CTEs, query plans, modelling for analytics and writing SQL that scales.
Power BI for Business Analytics
Data modelling, DAX, Power Query and dashboard design for decision-makers.
Analytics & BIPython for Data Engineering & Analysis
Python, pandas and automation for cleaning, transforming and moving data reliably.
Data & Analytics guides
Python vs SQL for Data Work: Which to Learn First?
SQL and Python solve different parts of data work. Most data professionals need both.
What Is Power BI?
Power BI is Microsoft's business intelligence platform for connecting to data, modelling it and building interactive reports.
What Is Data Science?
Data science combines statistics, programming and domain knowledge to extract insights and build predictive models from data.
Power BI vs Tableau: Which Should Your Team Learn?
Both are leading BI tools. The best choice usually depends on your existing ecosystem.