Yes. Beginners can start with Excel and data fundamentals before progressing to SQL, dashboards, statistics and Python.
Data Analysis
Course in C-Scheme
Learn Excel, SQL, Power BI, Python and AI with real business data. Build practical skills to clean, transform, analyze and visualize information—and turn it into useful insights.
- ✓Basic & Advanced Excel
- ✓Formulas & Pivot Tables
- ✓MIS reporting
- ✓SQL for analysis
- ✓Power BI dashboards
- ✓Data cleaning
- ✓Statistics & visualization
- ✓Python / Pandas as applicable
- ✓AI-assisted workflows
- ✓Practical projects
Ask about the current tools, batches and availability of a free demo class.
What is a Data Analysis Course? It teaches you to collect, clean, transform, analyze and visualize data to generate useful business insights. A practical course commonly includes Excel, SQL, statistics, Power BI and Python.
Advanced coding is not required to begin. SQL and basic Python can help you work with larger datasets and automate analysis.
Data Analysis Course in C-Scheme, Jaipur at Creatix Institute
Data analysis turns raw data into useful information for decision-making. Businesses use it to understand sales, marketing, customers, finance, people, inventory, operations and performance.
Learn a practical workflow: start with a business question, collect and clean data, explore it, analyze patterns, visualize results, build dashboards and share recommendations.
The course combines Excel, SQL, Power BI, Python and AI-assisted approaches into a practical analyst skill set. Confirm current tool coverage with a counsellor.
From business question to recommendation
Data analysis connects the question a team needs answered to evidence they can act on.
Data Analyst vs Data Scientist
A Data Analyst typically queries, cleans, analyzes and visualizes information to support business decisions, often using Excel, SQL, BI tools and statistics.
A Data Scientist usually works more deeply with programming, statistical modeling, machine learning and predictive systems.
This course page focuses on practical Data Analysis skills and business reporting.
Data Analyst
Answer business questions with spreadsheets, SQL, visualizations, dashboards and reporting.
Data Scientist
Often develops statistical and machine learning models for deeper analysis and prediction.
Why learn Data Analysis?
Data-informed decisions matter across teams. Analysis skills help people understand performance and communicate what to do next.
Excel remains useful
Spreadsheets support everyday business reports and analysis.
Query business data
SQL helps retrieve and summarize information from databases.
Build interactive dashboards
Power BI helps teams explore key metrics and patterns.
Scale your analysis
Python can help automate and extend data workflows.
Apply skills across teams
Analytics supports sales, finance, marketing, HR and operations.
Demonstrate practical ability
Portfolio dashboards and case studies show how you approach questions.
Build strong spreadsheet and MIS reporting skills
Excel is a practical starting point for organizing, analyzing and communicating business data.
Advanced formulas
IF, SUMIFS, COUNTIFS, logical, text and date functions.
Lookups
XLOOKUP, VLOOKUP and INDEX-MATCH workflows.
Pivot Tables & charts
Summarize data, compare metrics and explore patterns.
Data quality
Conditional formatting, validation and error checks.
Dashboards
Present key measures and trends in useful reports.
MIS reporting
Understand recurring weekly and monthly reporting.
Reporting workflows
Explore automation basics and repeatable processes.
Business interpretation
Connect spreadsheet results to the question being asked.
Learn tools used in practical analytics work
The brief proposes this toolkit. Confirm specific libraries and features included in the current Creatix program.
Spreadsheets
Excel, Advanced Excel, Pivot Tables, formulas, MIS and reporting.
Databases
Query, filter, group and join data to answer business questions.
Power BI
Transform data, create models and build interactive dashboards.
Python & AI
Explore Python, Pandas and AI assistance for analysis as applicable.
14 modules from data fundamentals to portfolio
Open a module to review its topics. Confirm the current course schedule and tool coverage with a Creatix counsellor.
01Data Analysis Fundamentals
- What is Data Analysis
- Data Analyst role
- Data types
- Structured vs unstructured data
- Data lifecycle
- Business questions
- KPIs and metrics
- Analytics workflow
- Industry applications
02Excel Fundamentals
- Excel interface
- Workbook and worksheet management
- Data entry and formatting
- Basic formulas
- SUM, AVERAGE and COUNT
- MIN and MAX
- Sorting and filtering
- Tables and basic charts
- Data organization
03Advanced Excel
- IF and nested IF
- SUMIF / SUMIFS
- COUNTIF / COUNTIFS
- XLOOKUP and VLOOKUP
- INDEX-MATCH
- Text and date functions
- Logical functions
- Error handling
- Conditional formatting
- Data validation
04Pivot Tables, Charts & MIS
- Pivot Tables and charts
- Slicers and grouping
- Calculated fields as applicable
- Interactive reports
- MIS reporting
- Weekly and monthly reports
- Management dashboards
- Automation basics
05Data Cleaning
- Duplicate removal
- Missing values
- Data formatting
- Text cleaning
- Date normalization
- Outlier awareness
- Data validation
- Standardization and transformation
- Quality checks
06SQL for Data Analysis
- Database fundamentals
- Tables and relationships
- SELECT, WHERE and ORDER BY
- GROUP BY and HAVING
- Aggregate functions
- CASE statements
- JOINs and subqueries
- CTEs / window functions as applicable
- Analytical queries
- Business problem solving
07Statistics for Analysis
- Mean, median and mode
- Range, variance and standard deviation
- Percentiles and distributions
- Correlation
- Sampling and basic probability
- Trend interpretation
- Business statistics
08Power BI Fundamentals
- Power BI interface
- Importing data and sources
- Power Query basics
- Cleaning and transformations
- Relationships and data models
- Calculated columns and measures
- DAX fundamentals
- Visuals, filters and slicers
09Power BI Dashboards
- Dashboard layout
- KPI cards and charts
- Tables and drill-down
- Interactive filters
- Bookmarks as applicable
- Dashboard storytelling
- Executive dashboards
- Sales, marketing and HR dashboards
10Python for Data Analysis
- Python basics
- Variables and data types
- Conditions, loops and functions
- Lists and dictionaries
- Working with files
- NumPy and Pandas basics
- DataFrames and cleaning
- Filtering, grouping and merging
- Basic visualization
11Data Visualization
- Choosing the right chart
- Bar and line charts
- Scatter plots and histograms
- Heatmaps
- Trend visualization
- Comparison and distribution
- Data storytelling
- Dashboard design principles
12AI for Data Analysis
- AI fundamentals
- AI-assisted Excel formulas
- AI-assisted SQL
- Data cleaning assistance
- Insight generation and interpretation
- Report writing
- Dashboard ideas
- Documentation
- Prompting for analytics
- Responsible AI use
13Business Analytics
- Sales and marketing analytics
- Customer analytics
- Financial reporting
- HR and inventory analytics
- E-commerce analytics
- Operations reporting
- KPI analysis
- Recommendations
14Portfolio & Professional Workflow
- Problem definition
- Dataset selection
- Cleaning and analysis
- Visualization and dashboards
- Business insights
- Recommendations
- Documentation and presentation
- Portfolio development
Connect data and communicate the story
Use a structured sequence to transform source data into an interactive view of business performance.
Use actual Creatix dashboard examples when available; the visual above is illustrative.
Practice with familiar business questions
Apply your skills to sales, marketing, finance, people, retail and operations scenarios.
Business problem → raw data → cleaning → Excel/SQL analysis → Power BI dashboard → insights → recommendations → presentation. Project availability and deliverables should be confirmed against the current program.
These are project concepts from the brief, not published student results. Add genuine Creatix dashboards and case studies when available.
Use AI to accelerate analysis while understanding the logic
AI can assist with formulas, SQL queries, data-cleaning ideas, exploratory analysis, report writing, visualization suggestions and documentation.
Learn to check the underlying data, formulas, queries, statistical assumptions and business logic so you can explain your conclusions.
AI-supported tasks
- ✦Suggest a formula or query to review
- ✦Explore ways to clean and organize data
- ✦Draft summaries and report explanations
- ✦Generate ideas for dashboard visuals
Specific AI tools depend on current course coverage.
Build analyst skills around real business work
Excel + Advanced Excel
Practice formulas, Pivot Tables, reporting and dashboard foundations.
SQL for analysis
Query and summarize datasets to investigate business questions.
Power BI dashboards
Explore data models, visuals and interactive reporting.
Python as applicable
Use Python and data libraries for analysis workflows where included.
Business projects
Work through examples that connect data to KPIs and decisions.
Career preparation
Develop your portfolio and explore applicable career support.
Build practical reporting and analytics skills
For learners who want to make sense of data
You can start with spreadsheets and business questions, then grow into SQL, BI tools and Python.
Potential analyst roles to explore
Career paths depend on skills, experience and portfolio. The course does not guarantee a particular role or salary.
Where data analysts work
Reporting and analytics skills can support teams across a wide range of industries.
Internship & placement support
Resume and dashboard portfolio guidance, interview and assessment preparation, project guidance, internship opportunities, career counselling, job updates and placement assistance according to the enrolled program's actual terms.
Certification
Certification details depend on the current program. Confirm the exact certificate name and issuing body with a Creatix counsellor.
Progress from Excel basics to an analyst portfolio
Free counselling
Discuss your goals, tools and course fit.
Try a demo
See a mini workflow using a dataset or dashboard.
Learn & practice
Build skills in Excel, SQL, Power BI and Python.
Present your work
Develop a capstone and explore career support.
Talk to our career counsellor
Share a few details and continue your Data Analysis course or demo enquiry with Creatix on WhatsApp.
- ✓Ask about duration, fees and batch timings
- ✓Choose a Jaipur location
- ✓Get guidance on Excel, SQL and Power BI
Data Analysis Course in C-Scheme, Jaipur
Looking for data analysis classes or an institute near you? Creatix Institute's practical learning pathway covers Excel, SQL, Power BI, data cleaning and Python for analysis as applicable. Learn to build reports and dashboards around real business questions. Ask about current training at the Mansarovar and Pratap Nagar locations.
Creatix Institute · Mansarovar
Near St. Wilfred's College, 120/27 1, Sector 12, Mansarovar, Jaipur, Rajasthan 302020
Get directions ↗Creatix Institute · Pratap Nagar
3rd Floor, Plot No. 100/SP/04, Sector-10, Tonk Road, Pratap Nagar, Sector 8, Sitapura Industrial Area, Sanganer, Jaipur, Rajasthan 302033
Get directions ↗Course quick details
| Course | Data Analysis |
|---|---|
| Location | Jaipur · Mansarovar and Pratap Nagar |
| Mode | Offline / Practical |
| Level | Beginner to Advanced |
| Core tools | Excel, Advanced Excel, SQL and Power BI |
| Additional tools | Python, statistics and AI tools as applicable |
| Projects | Practical business projects, dashboards and portfolio |
| Internship & career support | Available according to applicable program and policy |
| Certification | Confirm current course-specific details |
| Duration, fees & timings | Contact Creatix for current details |
Dashboards, analysis projects & reviews
Ask Creatix to see genuine student dashboards, SQL projects and current learner feedback.
These are project categories, not published student dashboards or testimonials. Add genuine Creatix examples and permissioned reviews before launch.
Data Analysis course FAQs
Answers to common questions about data analysis training in C-Scheme, Jaipur.
What is a Data Analysis Course?
It teaches learners to clean, analyze and visualize data using tools such as Excel, SQL, Power BI and Python.
Is Data Analysis suitable for beginners?
Yes. Beginners can start with Excel and data fundamentals before progressing to SQL, Power BI and Python.
Do I need coding to become a Data Analyst?
Advanced coding is not required to start. SQL and basic Python can improve analytical capability and automation.
Will I learn Excel?
The proposed curriculum includes Basic Excel and Advanced Excel.
Will I learn Advanced Excel?
The syllabus includes advanced formulas, lookups, Pivot Tables, charts, dashboards, data validation and reporting.
Will I learn SQL?
Yes. The proposed SQL modules cover querying, filtering, aggregation, JOINs and analytical queries.
Will I learn Power BI?
Power BI is central to the course brief, including data transformation, modeling and dashboards. Confirm current course coverage.
Will I learn Python for Data Analysis?
The proposed curriculum includes Python, Pandas and basic analysis workflows, subject to the current program.
Will I learn statistics?
Yes. The proposed curriculum covers practical statistics for data interpretation and reporting.
Will I learn dashboard creation?
Yes. The brief emphasizes Excel, MIS and Power BI dashboard development.
Is AI included in Data Analysis?
The proposed curriculum includes AI-assisted formulas, SQL, analysis, documentation and productivity workflows.
Will I work on real business projects?
The course brief proposes sales, marketing, HR, finance, e-commerce and KPI dashboard projects. Ask to see genuine student examples.
Will I build a Data Analyst portfolio?
Dashboard projects, SQL analysis and business case studies are proposed portfolio elements. Confirm the current deliverables.
What is MIS reporting?
MIS reporting organizes business data into recurring reports and dashboards that help managers monitor performance and KPIs.
Is Power BI better than Excel?
They serve different needs. Excel is useful for spreadsheet analysis and reporting; Power BI is designed for scalable interactive BI and dashboards.
Can Excel users move into Data Analysis?
Yes. Existing Excel skills provide a useful foundation for learning SQL, Power BI, statistics and Python.
Can BBA, BCom or MBA students learn Data Analysis?
Yes. Business and commerce backgrounds can be useful because analysis involves business questions, KPIs and reporting.
What are Data Analyst career options?
Potential roles include Data Analyst, MIS Analyst, Reporting Analyst, BI Analyst, Business Analyst and Operations Analyst.
Can I freelance with Data Analysis skills?
Skills can support freelance services such as Excel reporting, dashboards, Power BI, data cleaning and business reporting.
Do you provide internship opportunities?
Internship availability depends on the current Creatix program and its terms.
Do you provide placement assistance?
Placement assistance is available if included in the enrolled program. Ask a counsellor about the current policy.
Where is Creatix Institute located?
Creatix Institute has training locations in Mansarovar and Pratap Nagar, Jaipur.
Is there a Data Analysis course near me in C-Scheme, Jaipur?
Creatix Institute's Mansarovar and Pratap Nagar locations serve learners looking for data analysis training in C-Scheme, Jaipur. Contact the institute to discuss a suitable location.
Can I attend a free demo?
Enquire about booking a free demo class before enrolling.
What is the course duration?
Contact Creatix Institute for the currently verified course duration, fees and batch timings.
How can I enroll?
Submit the counselling enquiry or contact Creatix by phone or WhatsApp to discuss course guidance and enrollment.
Ready to start your Data Analysis journey?
Learn Excel, SQL, Power BI, Python and AI through practical business projects and dashboard development at Creatix Institute, Jaipur.
Clean → Analyze → Visualize → Recommend
Call or WhatsApp: +91 88548 00811 · Jaipur · Mansarovar · Pratap Nagar