Data Science
End-to-end Data Science β Python, statistics, machine learning, NLP and a capstone portfolio project.
View courseTurn raw data into decisions with Excel, SQL, Python and modern visualisation tools.
The Data Analytics course in Kurnool teaches you to collect, clean, analyse and visualise data to drive real business decisions. Using Excel, SQL, Python and BI tools, you'll learn the practical analytics skills that are in high demand locally.
Who is this course for? Freshers and working professionals who want a fast, practical route into a data career.
A practical, hands-on curriculum that takes you step by step from fundamentals to a real project.
The analytics process and types of analysis.
Formulas, pivot tables and dashboards in Excel.
Extracting and joining data with SQL queries.
Pandas for cleaning and analysing data.
Building dashboards in Power BI / Tableau.
Descriptive and inferential statistics for analysts.
An end-to-end analysis and dashboard project.
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Skills from the Data Analytics course can support roles such as:
Excel, SQL, Python, statistics and visualisation tools like Power BI and Tableau, applied to real business data.
Analytics is more focused on insights and reporting and is often a faster route to a job, while data science adds more machine learning. This course is a great starting point.
No. The course is suitable for beginners and teaches the necessary tools step by step.
About 3 months, available in classroom, online and hybrid formats in Kurnool.
Yes. You complete a capstone analysis with an interactive dashboard for your portfolio.
End-to-end Data Science β Python, statistics, machine learning, NLP and a capstone portfolio project.
View courseFrom data modelling to executive dashboards β the most in-demand local analytics skill.
View courseAnalytics for decision-making β forecasting, optimisation and data storytelling for managers.
View courseBook a free demo class, meet your trainer and get the full syllabus and fee details. No obligation.