Data Analyst
Profile Code: AL-ITS-04
- ₹6 LPA (Median Salary)
- Lecture Duration 2hrs
- Course Duration 12 Weeks
Skills You Learn: SQL | Excel | Python | Data Cleaning | Data Visualization | Power BI | Tableau | Statistical Analysis | Reporting & Dashboarding | Problem-Solving & Communication
Overview Video
About This Course
A Data Analyst in the IT services and consulting industry focuses on supporting client projects by transforming raw data into actionable insights for business decision-making. This course equips learners with the skills to collect, clean, and analyze data, build reports, and create dashboards to solve real-world business problems. Participants gain hands-on experience with tools like Excel, SQL, and BI platforms for data analysis and visualization. The program emphasizes data cleaning, exploratory analysis, and data storytelling in client-driven environments. Learners will understand how to translate business requirements into analytical solutions, identify trends, and deliver insights to stakeholders. By the end of the course, they are prepared for roles in data analytics and consulting, with career progression into senior analyst, consulting, and analytics leadership positions.
Course Content
5 modules · 12 weeks · 2hrs/dayExcel Course
The **Excel Course** covers basic to advanced concepts for Data Analysts in the IT Services and Consulting industry, including workbook management, formulas, functions, data validation, sorting, filtering, conditional formatting, Pivot Tables, Pivot Charts, XLOOKUP, INDEX-MATCH, Power Query integration, Power Pivot, statistical analysis, data cleansing, business reporting, KPI tracking, dashboards, What-If Analysis, Solver, VBA automation, data visualization, MIS reporting, forecasting, variance analysis, and interactive dashboards to analyze business data, improve operational efficiency, automate reporting, and support accurate, data-driven business decision-making.
SQL Course
The **SQL Course** covers basic to advanced concepts for Data Analysts in the IT Services and Consulting industry, including database fundamentals, SELECT queries, filtering, sorting, joins, aggregate functions, GROUP BY, HAVING, subqueries, Common Table Expressions (CTEs), window functions, CASE statements, views, stored procedures, indexing, query optimization, transaction management, data extraction, ETL support, data validation, business analytics, reporting, performance optimization, and large dataset management to retrieve, transform, and analyze structured data for reporting, business intelligence, and strategic decision-making.
Power BI/Tableau Course
The **Power BI/Tableau Course** covers basic to advanced business intelligence concepts for Data Analysts in the IT Services and Consulting industry, including data integration, Power Query, data transformation, data modeling, DAX or calculated fields, KPI development, dashboard creation, interactive visualizations, business performance reporting, trend analysis, predictive analytics, drill-through reports, automated reporting, executive dashboards, forecasting visualization, Row-Level Security, data storytelling, performance monitoring, and business intelligence techniques to transform raw business data into actionable insights for operational excellence and strategic decision-making.
Google Sheets Course
The **Google Sheets Course** covers basic to advanced concepts for Data Analysts in the IT Services and Consulting industry, including spreadsheet management, formulas, functions, conditional formatting, data validation, sorting, filtering, Pivot Tables, charts, QUERY, FILTER, ARRAYFORMULA, IMPORTRANGE, XLOOKUP, Apps Script basics, collaborative editing, version history, dashboard creation, KPI reporting, workflow automation, cloud-based reporting, data visualization, business analytics, and real-time collaboration to organize, analyze, and share business data efficiently while supporting faster reporting and informed decision-making.
Power Query Course
The **Power Query Course** covers basic to advanced concepts for Data Analysts in the IT Services and Consulting industry, including data import, data extraction, data cleansing, transformation, merging, appending, pivoting, unpivoting, splitting columns, filtering, sorting, handling missing values, removing duplicates, custom columns, conditional columns, M language fundamentals, query optimization, automated refresh, integration with Excel and Power BI, ETL workflows, reporting automation, and data preparation techniques to transform raw data into clean, analysis-ready datasets for accurate reporting and business intelligence.
Key Responsibilities
- Collect and clean data from multiple sources
- Analyze datasets to identify trends and insights
- Create dashboards and reports
- Develop data visualizations
- Monitor KPIs and business metrics
- Support decision-making with data-driven recommendations
- Collaborate with teams to solve business problems
Growth Path
Tools Used
Perfect For
Engineering Graduates | Computer Science Students | Mathematics & Statistics Graduates | Business & Commerce Graduates | Aspiring Data Professionals | Professionals Interested in Analytics and Data-Driven Decision Making
Fee Structure
Mentor
Analytics Learners
Professional Analyst & Mentor
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