Data Analytics Course with Placement Pay after you're hired.

Syllabus

8 modules. 6 months.

1. 01Data Analytics FundamentalsThe foundation, and the framing interviewers listen for.

   • The analytics lifecycle: Define → Collect → Process → Analyze → Visualize → Act
   • KPIs: choosing and defending the right metric
   • How data actually drives business decisions
2. 02Advanced ExcelStill the first tool most analyst interviews test.

   • Excel functions: lookup, logical, text, date
   • Pivot tables and pivot charts
   • Dashboards: organize, analyze and visualize effectively
   • Data cleaning in Excel
3. 03SQL for AnalystsThe single highest-leverage skill in an analyst interview.

   • Select, where, order by, aggregations
   • Joins: inner, left, right, self
   • CTEs and subqueries
   • Window functions — the question that separates candidates
   • Group by, having, case statements
4. 04Python for AnalyticsThe most powerful language for data analysis.

   • Variables, loops, functions
   • Pandas: DataFrames and structured data
   • NumPy: numerical operations with arrays
   • Data cleaning: missing values, duplicates, inconsistent data
   • EDA: explore data and uncover hidden patterns
   • Data visualization and business insights
5. 05StatisticsUnderstand data. Uncover patterns. Make defensible decisions.

   • Mean, median and central tendency
   • Probability and distributions
   • Hypothesis testing — assumptions and reliable conclusions
   • Correlation: relationships between variables
   • Regression: predict and forecast outcomes
6. 06Power BIVisualize data. Drive insights. Empower decisions.

   • Data modeling: relationships and robust models
   • DAX: calculated measures for deeper analysis
   • Measures and visualizations
   • Interactive dashboards for storytelling
   • Power BI Service: publish, share, collaborate
   • Scheduled refresh and automation
   • Power Query for transformation
7. 07Business Analytics Across DomainsWhere the analysis meets the money.

   • Sales analytics: performance, trends, forecasting, strategy
   • Marketing analytics: campaign performance, customer behavior, ROI
   • Finance analytics: budgeting, forecasting, cost optimization, risk
   • HR analytics: performance, attrition, retention, workforce planning
   • Customer analytics: segmentation, experience, lifetime value
8. 08Interview EngineeringThe module no other institute has — because no one else monitors 50 interviews a day.

   • Live question bank from monitored interviews, refreshed monthly
   • Weekly technical + case-study mock interviews, AI-analysed
   • Business-scenario and guesstimate drills
   • Communication & confidence coaching — scored, not optional

Based on BrowseJobs internal data. Historical figures — not a promise of individual outcome. Hiring depends on the live market and your performance.

5 CV-ready projects

Deployed, not just coded.

Success stories.

How people moved into the role. The path is the same: AI interview, counselling, a course, a retake, then hired.

Real messages from our students.

Words from people who wrote in after they moved.

• Joining third company after course Pranjal
• Support role to Accenture offer
• Received offer letter after doubt Sujit
• Joined Eli Lilly, first salary Ranganayaki
• Joined as Senior Data Engineer gayathrim
• Joining Mphasis Akshay
• Placed, one birthday later Kavi
• Offer received, joining tomorrow Amarnath
• Cracked phData and Alkye Rohith
• Offer letter from ConcertAI Indira
• Offer after clearing all rounds Ajeet
• Landed a job after course Neeraj
• One year since getting placed Harika
• Now lead data engineer on project Gajanan