Ready to start your career journey as a Data Science & Analytics professional?
In this foundation program in Data Science & Analytics, learners build strong skills in
Python programming, statistics, SQL, data analysis, visualization, and basic machine learning.
You’ll work with real-world datasets, understand how to clean and prepare data, analyze business problems,
and present insights using charts, dashboards, and reports. The course also introduces core concepts of
data-driven decision making, cloud-based tools, version control (Git), and end-to-end project workflows so
you are job-ready for roles like Data Analyst / Business Analyst / Junior Data Scientist.
Foundations of Data Science & Python Programming
Statistics, Probability & Exploratory Data Analysis (EDA)
SQL & Databases for Data Analysis
Data Visualization using Excel, Power BI / Tableau, Matplotlib, Seaborn
Machine Learning Fundamentals (Regression, Classification, Clustering)
Business Analytics, Storytelling & Dashboarding
End-to-End Data Science Projects & Portfolio Building
Data is at the heart of every modern business. Learning Data Science & Analytics is one
of the most powerful ways to build a future-proof career in today’s digital world. From e-commerce,
banking, healthcare, and telecom to education and startups, every industry needs professionals who can
collect, clean, analyze and interpret data to make smarter decisions.
This course helps you develop strong analytical thinking, problem-solving and storytelling
skills. You’ll learn how to work with real datasets, identify patterns, create dashboards, and
build basic machine learning models that solve real business problems.
At Skills Boost, our Data Science program is guided by trainers with hands-on experience
in analytics, BI tools, and machine learning projects. They have worked with live industry data, created
dashboards for management, and built predictive models – and they bring that practical knowledge directly
into the classroom.
Through live training, guided practice, assignments, and capstone projects, you’ll gain
the confidence to apply for roles like Data Analyst, Business Analyst, MIS Executive, Reporting Analyst
and Junior Data Scientist. Whether you’re a fresher or someone looking to switch your career,
Skills Boost provides a structured, career-focused learning path to help you grow as a
data professional.
After successfully completing this foundation course in Data Science & Analytics, learners will be able
to apply for multiple entry-level roles in the data domain. Students can become…
