DATA & BUSINESS INTELLIGENCE
EDUCORA CAREER PROGRAMProfessional Data Analytics
Prepare and analyse data, build Power BI dashboards and communicate business insights using Excel, SQL, Python and AI.
3 months training + 3 months internship
BUILD PRACTICAL SKILLS
Turn data into clear business decisions.
Prepare and analyse data, build Power BI dashboards and communicate business insights using Excel, SQL, Python and AI.
The program builds skills in Excel, SQL, Power BI, Python, reporting and stakeholder communication. Tableau is introduced for tool awareness; Power BI remains the primary business intelligence tool.
Illustrative learning project · program-specific practical work
A CLEAR LEARNING PATH
More than a list of topics
Develop practical skills, demonstrate your work and apply your learning during a company internship.
Learn the foundations
Follow a structured technical curriculum with progressive practical tasks.
Build and demonstrate
Develop projects, document your work and present your learning.
Work with AI responsibly
Use AI assistance while checking accuracy, privacy and limitations.
Apply your skills
Complete an actual three-month company internship after training.
FIND YOUR STARTING POINT
Who can join this program?
Review the audience and prerequisites to see how the program fits your background.
Final-year students and recent graduates: BCA, B.Sc., B.Com., BBA, BE/B.Tech, MCA, MBA and comparable backgrounds.
Freshers seeking roles in analytics, reporting, MIS or business intelligence.
Career starters transitioning from non-IT studies who want a guided technical foundation.
Early-career professionals who want to strengthen Excel, SQL, dashboarding and Python skills.
Prerequisites and equipment
- Basic computer use, spreadsheets, browsing and file management.
- Comfort with school-level arithmetic; no prior programming or analytics job experience required.
- Willingness to practice outside class and complete weekly assignments.
- Access to a suitable laptop and stable internet; Windows is recommended for Power BI Desktop.
- Basic English reading ability for software interfaces and technical materials.
FROM LEARNING TO APPLICATION
Your learning journey
Excel & SQL
Build the foundations.
Power BI
Practise with real tasks.
Python & AI
Demonstrate your work.
Company internship
Apply your learning in a company.
THE COMPLETE SYLLABUS
A structured curriculum
Three months of technical training with a progressive learning sequence, practical exercises and project reviews.
Expand each section to see the topics and practical outcome. Introductory tool coverage is identified within the syllabus.
Ask About This ProgramWeek 1 — Data Analytics & Excel Foundations
Analyst workflow; business questions and KPIs; data types; formulas; IF, SUMIFS, COUNTIFS, XLOOKUP; data validation; AI use and data privacy basics.
Practice outcome: Clean and summarize an operational workbook.
Week 2 — Advanced Excel & Power Query
Pivot tables and charts; conditional formatting; Power Query imports, merge/append, profiling; missing values and duplicate handling.
Practice outcome: Build a reusable Excel reporting workbook.
Week 3 — SQL Essentials
Relational databases; SELECT, WHERE, ORDER BY, GROUP BY, HAVING, aggregate functions, inner/outer joins, CASE and subqueries.
Practice outcome: Write queries for sales and customer metrics.
Week 4 — SQL for Analyst Interviews
CTEs, window functions, date logic, NULL handling, basic query optimization, data checks, business case exercises.
Practice outcome: Submit a SQL query portfolio with validation notes.
Week 5 — Power BI: Data Preparation
Power BI Desktop; connectors; Power Query transformations; data profiling; import modes and refresh concepts.
Practice outcome: Produce a documented clean dataset.
Week 6 — Power BI: Modeling & DAX
Star schema; facts and dimensions; cardinality; filter context; measures; CALCULATE, FILTER and time-intelligence introduction.
Practice outcome: Develop core sales and finance KPI measures.
Week 7 — Dashboards & Data Storytelling
Appropriate visuals, slicers, drillthrough, bookmarks, accessibility, design consistency, executive summaries and presenting insights.
Practice outcome: Create an interactive management dashboard.
Week 8 — Power BI Service + Tableau Introduction
Publishing, workspaces, scheduled refresh, gateways, row-level security concepts; Tableau interface, charts and basic dashboards.
Practice outcome: Publish a controlled dashboard demo; compare BI tools.
Week 9 — Python Foundations
Jupyter, Python syntax, functions, lists/dicts, file handling, NumPy basics, Pandas DataFrames and CSV/Excel imports.
Practice outcome: Read, clean and summarize a dataset in Python.
Week 10 — Analysis, Visualization & Statistics
Pandas merges/groupby; Matplotlib/Seaborn; distributions, descriptive statistics, correlation and outliers; interpretation and caveats.
Practice outcome: Create an exploratory analysis notebook.
Week 11 — AI-Assisted Analytics & Automation
Prompting for analytical tasks; review of AI-generated SQL/DAX/Python; reporting automation; verification, hallucinations, privacy and confidential-data safeguards.
Practice outcome: Build a validated repeatable reporting workflow.
Week 12 — Capstone & Internship Readiness
Integrated case combining SQL, Power BI, Python and business communication; Git/GitHub basics, documentation, portfolio, interview exercises.
Practice outcome: Present an end-to-end analytics capstone and pass evaluation.
MAKE YOUR LEARNING VISIBLE
Projects and portfolio
Turn the syllabus into practical work you can explain, demonstrate and discuss in interviews.
Excel reporting workbook
Clean, summarise and validate operational data in a reusable workbook.
Power BI management dashboard
Build data models, DAX measures and interactive reports.
Python analysis notebook
Explore datasets with Pandas and communicate findings with charts.
Integrated analytics capstone
Combine SQL, Power BI, Python and business communication.
Skills you will practise
- Translate business questions into metrics, datasets and analysis plans.
- Use Excel and SQL to transform, reconcile and validate data.
- Create Power BI data models, DAX measures and interactive dashboards.
- Explore data using Python, Pandas and visualizations.
- Explain statistical summaries and limitations without overclaiming certainty.
- Use AI assistants to accelerate analysis while independently checking outputs.
- Produce documented, reproducible analyses and present insights to nontechnical stakeholders.
AFTER COMPLETING TRAINING
An actual 3-month company internship
Apply your technical learning through supervised company work. The internship follows the three-month training phase.
Month 4: Data Operations
Data intake; cleansing; SQL queries; KPI definitions; QA checks; requirements clarification; weekly status updates.
Work evidence: Query library, cleaned dataset, data dictionary, weekly mentor review.
Month 5: BI Reporting
Power BI report building; DAX measures; stakeholder feedback; report validation; introductory automation.
Work evidence: Interactive dashboard, testing checklist, presentation and revisions.
Month 6: Delivery
Complete a scoped analytics assignment; document assumptions; present findings; hand over reproducible work.
Work evidence: Final report, portfolio artifact, presentation and supervisor evaluation.
Internship documentation reflects the actual period and activities completed. Enquire about company arrangements, work mode, timings and any applicable stipend.
PREPARE FOR YOUR NEXT STEP
Career opportunities
Build skills to apply for entry-level opportunities aligned with this program.
Career opportunities depend on skills, available openings and employer selection. Employment is not guaranteed.
PRESENT YOUR WORK WITH CONFIDENCE
Career preparation
Project presentation
Explain your approach, demonstrate your work and discuss technical choices.
Portfolio documentation
Organise project files, reports or repositories to show what you have built.
Interview readiness
Practise technical discussions and interview exercises included in the program.
Assessment includes practical assignments, project demonstrations and feedback. Training completion and internship participation are documented separately.
YOUR QUESTIONS, ANSWERED
Frequently asked questions
What is the program duration?
Six months: three months of training followed by three months of internship.
Is this an actual company internship?
Yes. Educora offers an actual three-month company internship after completion of training.
Do I need prior experience?
Basic computer use, spreadsheets, browsing and file management. Comfort with school-level arithmetic; no prior programming or analytics job experience required.
What are the fees and batch timings?
Please contact Educora for current fees, upcoming batches, delivery mode and class timings.
Is the internship paid?
Please enquire about any applicable stipend and the specific internship arrangements.
Is a job guaranteed?
No. The program includes career preparation; employment depends on vacancies, skills and employer selection.
LET’S DISCUSS YOUR GOALS
Choose your next step with Educora.
Ask about eligibility, the syllabus, fees, upcoming batches and the company internship.