Excel
Learn data cleaning, formulas, lookup functions, PivotTables, and business reporting.
CAREER INTELLIGENCE / 04
Learn to clean, analyze, and visualize data. Build practical skills with Excel, SQL, Python, and Power BI, then use them to solve real business problems.
ANALYTICS ENGINE
Collect & clean
EXCEL · PYTHON
Query & analyze
SQL
Visualize insights
POWER BI
Recommend action
BUSINESS THINKING
The goal: turn business questions into evidence-based decisions.
THE SKILL MATRIX
Four core tools. Practical exercises. Business-focused thinking.
Learn data cleaning, formulas, lookup functions, PivotTables, and business reporting.
Practice queries, filtering, joins, aggregations, subqueries, and business analysis.
Explore Python fundamentals, pandas, data cleaning, and exploratory data analysis.
Understand data modelling, Power Query, DAX fundamentals, and interactive dashboards.
LEARNING ROADMAP
PHASE 01
Start with spreadsheet basics, formulas, data types, duplicates, and missing values.
PHASE 02
Practice SQL and Python to answer questions, find patterns, and validate results.
PHASE 03
Build Power BI dashboards and communicate findings through a portfolio project.
TRACK 01 · SPREADSHEETS
Build practical Excel skills through hands-on challenges, from basic formulas to data cleaning and business reporting.
CHALLENGE · 001
Test your knowledge of Excel fundamentals, formulas, cells, rows, columns, and basic data analysis.
CHALLENGE · 002
Practice common Excel formulas and functions used to summarize and analyze business data.
CHALLENGE · 003
Practice sorting, filtering, removing duplicates, cleaning text, and organizing spreadsheet data for analysis.
CHALLENGE · 004
Practice lookup formulas to find matching records, retrieve values, and handle missing results in business spreadsheets.
CHALLENGE · 005
Practice IF, IFS, AND, OR, nested logic, and business scenarios for evaluating targets and classifying performance.
CHALLENGE · 006
Practice conditional totals and counts using SUMIF, SUMIFS, COUNTIF, and COUNTIFS in realistic business scenarios.
CHALLENGE · 007
Clean messy text and extract useful information from customer records, product codes, and business datasets using LEFT, RIGHT, MID, and TRIM.
CHALLENGE · 008
Analyze dates, calculate employee tenure, track order ageing, and prepare monthly reports using TODAY, DATEDIF, and EOMONTH.
CHALLENGE · 009
Turn raw business data into meaningful reports using Pivot Tables, Rows, Columns, Values, date grouping, filters, slicers, and refresh operations.
CHALLENGE · 010
Solve a real-world sales analysis case study by evaluating revenue, targets, profit margins, average order value, regional performance, and business trends.
TRACK 02 · DATABASE QUERIES
Practice SQL queries, filtering, sorting, aggregations, and joins through practical data analytics challenges.
CHALLENGE · 001
Test your knowledge of SQL fundamentals, queries, filtering, sorting, grouping, joins, and database concepts.
CHALLENGE · 002
Test your knowledge of SQL aggregate functions, filtering groups, joins, NULL values, subqueries, and data modification.
CHALLENGE · 003
Test your knowledge of SQL queries, joins, aggregation, constraints, data types, transactions, and practical database concepts.
CHALLENGE · 004
Practice practical SQL for data analytics using CASE expressions, NULL handling, date filters, and conditional aggregation.
CHALLENGE · 005
Practice INNER JOIN, LEFT JOIN, multi-table joins, and business analysis using relational data.
CHALLENGE · 006
Practice SQL subqueries, scalar queries, common table expressions, and multi-step business analysis.
CHALLENGE · 007
Practice SQL window functions, ranking, partitioning, previous-row comparisons, and running totals.
CHALLENGE · 008
Practice SQL date filtering, date extraction, monthly aggregation, date differences, and time-based business analysis.
CHALLENGE · 009
Practice advanced aggregation, HAVING, conditional metrics, conversion rates, averages, and business reporting with SQL.
CHALLENGE · 010
Practice UNION, UNION ALL, INTERSECT, EXCEPT, EXISTS, and advanced SQL filtering for data analysis.
TRACK 03 · PYTHON ANALYTICS
Practice Python fundamentals, Pandas, data cleaning, exploratory analysis, visualization, and business problem-solving.
CHALLENGE · 011
Practice Python variables, data types, operators, conditions, loops, and basic functions for data analytics.
CHALLENGE · 012
Practice Python lists, tuples, dictionaries, sets, indexing, slicing, and common data manipulation operations.
CHALLENGE · 013
Practice NumPy arrays, array operations, shapes, indexing, aggregation, and numerical computing for data analytics.
CHALLENGE · 014
Practice Pandas Series, DataFrames, data selection, filtering, missing values, and basic dataset inspection.
CHALLENGE · 015
Practice handling missing values, duplicate rows, data types, string cleaning, and transformations using Pandas.
CHALLENGE · 016
Practice filtering, sorting, grouping, aggregation, and extracting business insights using Pandas.
CHALLENGE · 017
Practice inspecting datasets, descriptive statistics, correlations, outliers, and business insights using Pandas.
CHALLENGE · 018
Practice choosing charts, creating plots with Matplotlib and Seaborn, and interpreting visual insights for business analysis.
CHALLENGE · 019
Practice translating common SQL operations into Pandas for practical data analysis.
CHALLENGE · 020
Apply Pandas skills to business cases involving revenue, profitability, customer retention, and data-driven decisions.
TRACK 04 · POWER BI ANALYTICS
Practice Power Query, data modelling, DAX, time intelligence, dashboard design, publishing, and business case studies.
CHALLENGE · 021
Learn Power BI fundamentals, reports, dashboards, datasets, visuals, and the basic analytics workflow.
CHALLENGE · 022
Practice data types, missing values, duplicate removal, column transformations, and merging or appending queries.
CHALLENGE · 023
Practice relationships, cardinality, fact and dimension tables, star schema, and filter propagation in Power BI.
CHALLENGE · 024
Practice DAX basics, measures, calculated columns, aggregations, and foundational business calculations.
CHALLENGE · 025
Practice filter context, CALCULATE, FILTER, ALL, and dynamic business calculations using DAX.
CHALLENGE · 026
Practice date tables, year-to-date calculations, prior-period comparisons, and year-over-year analysis using DAX.
CHALLENGE · 027
Practice choosing visuals, designing KPI cards, using slicers and drill-through, and presenting business insights clearly.
CHALLENGE · 028
Practice publishing reports, managing workspaces, refreshing data, configuring permissions, and sharing Power BI content.
CHALLENGE · 029
Practice iterator functions, row context, RELATED, distinct counts, and advanced business calculations using DAX.
CHALLENGE · 030
Apply Power BI skills to a business case involving data preparation, modelling, DAX, KPIs, dashboards, and actionable insights.