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Data Analytics Course in Jaipur

Learn Data Analytics in Jaipur with Excel, SQL, Python and Power BI. Explore data cleaning, statistics, dashboards and portfolio projects at Forsk Coding School.

Project Based Beginner to Intermediate

Learning goals

  • Clean spreadsheet data and summarise it with formulas, PivotTables and charts.
  • Translate a business question into SQL queries, analysis and a readable report.
  • Use Python and Pandas to inspect, transform and analyse tabular datasets.
  • Prepare data and build interactive reports with Power BI.
  • Document the question, data preparation, findings and limitations for each practice project.
  • Check missing values, duplicates, totals and misleading comparisons before presenting results.
  • Prepare for technical assessments and interviews.
  • Build a foundation for advanced learning and career growth.

Skills you'll gain

Excel & PivotTablesSQLPython & PandasData CleaningDescriptive StatisticsPower BI & DAXDashboardsInsight Communication

Course description

The Data Analytics Course at Forsk Coding School, Jaipur connects Excel, SQL, Python, statistics and Power BI in one analyst workflow: define a business question, prepare data, calculate useful metrics and communicate findings. Start with spreadsheet foundations, then progress to queries, repeatable analysis and dashboards.

The focus is reporting and analysis. Predictive modelling and machine learning are separate Data Science specialisations. Review the outline below and confirm the selected batch's tool coverage, teaching hours, fee and timetable before enrolment.

By the end of the program, learners should have a stronger practical foundation, project experience and a clear roadmap for further specialization.

Course highlights

  • Structured learning path from fundamentals to advanced topics
  • Hands-on exercises and practical implementation
  • Real-world scenarios and project-based learning
  • Industry tools and workflow exposure
  • Debugging, testing and problem-solving practice
  • Technical assessment and interview preparation
  • Career-focused mentoring and project guidance

Requirements

  • Basic computer knowledge
  • Beginner learners can start from fundamentals; advanced programs may have prerequisites
  • A computer/laptop suitable for the course tools
  • Regular practice is recommended for best results

Who should join?

  • Students and freshers building job-ready technology skills.
  • College learners preparing for academic and technical assessments.
  • Working professionals looking to upskill or change roles.
  • Learners who prefer practical and project-based training.

Data Analytics Course Curriculum

Practical, project-based learning

  • Analyst workflow and business questions
  • Spreadsheet setup and tabular data
  • Excel formulas, lookups and logical functions
  • PivotTables, charts and reporting exercises

  • Data types and tabular datasets
  • Importing and cleaning data
  • Missing values and transformations
  • Data quality checks

  • Descriptive statistics and KPIs
  • Charts and dashboards
  • Exploratory analysis
  • Insight communication

  • Relational databases
  • SELECT, JOIN, GROUP BY and subqueries
  • Aggregation and reporting
  • Practical database exercises

  • Python fundamentals and notebook workflow
  • Pandas filtering, grouping and aggregation
  • NumPy and descriptive analysis
  • Charts and interpretation with Python

  • Data import and Power Query cleaning
  • Data models and table relationships
  • DAX measures and KPI calculations
  • Interactive visuals and dashboard storytelling

  • Reconcile source totals and report measures
  • Document cleaning and analysis decisions
  • Choose charts for the business question
  • Explain findings, limitations and next questions

  • Real-world dataset project
  • Dashboard or analytical report
  • End-to-end project
  • Portfolio documentation

  • Technical questions
  • Case studies
  • Project explanation
  • Assessment preparation

  • Entry-level roles
  • Portfolio strategy
  • Resume readiness
  • Next-step learning

Practical Projects

Project work is aligned with the course domain and focuses on applying the concepts covered in the curriculum. Learners practise planning, implementation, testing, documentation and presentation.

  • Excel reporting exercise: clean a sales sheet, build a PivotTable and explain a summary chart
  • SQL case study: join related tables and calculate grouped business metrics
  • Python analysis exercise: handle missing values and explain findings in a notebook
  • Power BI capstone: prepare data, define measures and present a dashboard with its limitations

Tools & Technologies

Excel & PivotTablesSQLPython & PandasData CleaningDescriptive StatisticsPower BI & DAXDashboardsInsight Communication

Career Opportunities

After building sufficient hands-on skills, learners can target entry-level opportunities related to Data Analytics. Job titles, responsibilities and eligibility vary by employer and experience.

  • Junior Data Analyst
  • MIS / Reporting Analyst
  • Business Intelligence Trainee
  • Analytics Intern

Certification & Career Support

Course completion recognition may be provided according to the selected Forsk Coding School program. Career-focused support can include project guidance, resume preparation, interview practice and portfolio development.

Choose your analytics learning path

Choose the complete Data Analytics path to connect spreadsheets, queries, Python analysis and dashboards. If you already have the foundations, compare a focused module.

Before you enrol

Ask for the current fee and inclusions, course duration, weekly practice expectations, batch timetable, learning mode and project-review process. Career support does not guarantee employment.

Learn with Forsk Coding School Mentors

Forsk Coding School mentor

Forsk Coding School Mentoring Team

Data & AI Training

The Data Analytics Course program is delivered through structured lessons, demonstrations, guided practice, troubleshooting and project work. Learners are encouraged to understand concepts, apply them and explain their solutions.

Mentoring focuses on practical implementation, professional workflow and career-oriented preparation.

Learning Support & Practice

Practice First

A practical path from learning to application

Learners reinforce each module through exercises, revision, troubleshooting and project-based practice.

  • Concept-wise practice
  • Problem-solving and debugging
  • Project guidance
  • Interview-oriented preparation

Frequently Asked Questions

Yes. Begin with basic computer and spreadsheet familiarity. Excel and SQL provide a starting point before Python analysis. Regular hands-on practice matters; confirm laptop and software requirements with the course team.
The analytics path covers Excel, SQL, statistics, Python and Pandas, data cleaning, Power BI, dashboards and communicating findings. Confirm module depth for your selected batch.
Yes. Practical assignments and projects are included to help learners apply concepts and create portfolio evidence.
The program includes interview-oriented questions, assessment practice and guidance on explaining projects and skills professionally.
Use the Enquire Now or Start Learning button on this page to contact Forsk Coding School about the current batch, fee and admission process.
Jaipur student resources

Planning classroom learning in Shyam Nagar?

Use the verified Forsk Coding School Shyam Nagar branch page for the official address, directions and course enquiry. Students relocating to Jaipur can also compare nearby boys PGs, girls PGs, hostels and co-living options in the accommodation guide.

Your learning roadmap for 2027

Explore practical skills, portfolio milestones and career preparation for your course.

Browse Course Roadmaps 2027
Forsk Coding School · Daily course batches

Find your next batch.

Online and offline starts for every course, from 19 October 2026 to 18 April 2027. All times are Indian Standard Time (IST).

Daily timings: 4 offline and 8 online batches per course

Offline: 8–10 AM · 11 AM–1 PM · 2–4 PM · 6–8 PM

Online: 5–7 AM · 7–9 AM · 9–11 AM · 11 AM–1 PM · 2–4 PM · 5–7 PM · 8–10 PM · 10–11:59 PM

Upcoming batches

Ongoing batches

For currently running batches and joining options, please contact the course team.

Choose your preferred start and enquire about joining. Course duration, fees and classroom location are provided by the course team.

View the six-month batch calendar →