Certification in Data Science
Start from basics with a beginner-friendly Data Science certification. Learn Python, data analysis, and machine learning with step-by-step practical training.
₹50,000₹45,000
View DetailsCertification in Data Analytics
Data Analytics Certification | Excel, SQL, Python & Power BI
Learn data analytics with hands-on training in Excel, SQL, Python, and visualization tools. Work on real projects and build job-ready skills.
Course Details
Syllabus & ModulesCourse Duration
6 monthsCourse Fee
₹40,000Job Oriented
Placement SupportAbout the Programme
Data analytics is the practice of examining datasets to draw conclusions — about business performance, customer behaviour, operational efficiency, or market trends. It is not the same as data science, which goes further into predictive modelling and machine learning. A data analyst works with existing data to answer defined questions, present findings clearly, and support better decisions. That is a distinct and consistently in-demand skill set, and it is what this programme trains you to do.
The Certification is structured so that the first two months build the foundation tools that every analyst needs regardless of their industry or employer: advanced Excel and SQL. Month 3 and 4 move into Power BI — where raw data becomes dashboards and visual reports that non-technical stakeholders can act on. Month 5 introduces Python for data analysis, covering pandas and visualisation libraries for analysts who need to handle larger datasets or automate repetitive processes. Month 6 is the capstone: an end-to-end analytics project using a real-world dataset.
This data analytics course covers:
Microsoft Excel: advanced formulas, pivot tables, data validation, and analytical modelling
SQL: querying, filtering, joining, aggregating, and extracting insight from relational databases
Power BI course content: data modelling, DAX measures, dashboard design, and report publishing
Python for data analytics: pandas for data manipulation, Matplotlib and Seaborn for visualisation
Data cleaning and preparation: the part of analytics that takes up 60% of real-world time
Storytelling with data: presenting analytical findings clearly to non-technical audiences
Capstone project: a complete analytical study using a real dataset with a business framing
- Graduates from any discipline who want to move into data analytics roles
- Working professionals in finance, operations, marketing, or HR who want to formalise and expand their data skills
- Students who have completed Class 12 and want to enter the data analytics field with a structured, recognised credential
- Individuals who have searched for a data analytics course near me in Kolkata and want classroom-based, mentor-led instruction
- People who already use Excel in their work and want to add SQL, Power BI, and Python to their skill set
- Anyone considering a longer data science programme who wants to first confirm their interest in working with data through a focused 6-month course
- Complete data analytics workflow covered — data extraction, cleaning, analysis, visualisation, and communication
- Dedicated Power BI course module — from data import to published, interactive dashboard
- SQL taught as a working query language — you write real queries against real datasets from Week 3
- Python for data analytics: pandas and visualisation — practical, not theoretical
- Advanced Excel: pivot tables, VLOOKUP, INDEX-MATCH, array formulas, and scenario modelling
- Data storytelling module: how to present analysis to people who did not ask for a technical breakdown
- Data analytics certification course with placement support — interview prep, resume guidance, and hiring partner introductions
- Capstone project on a real-world dataset with business framing — portfolio-ready on graduation day
- Classroom-based, practitioner-led instruction at Innotech Eduhub, Kolkata
- Data organisation: tables, named ranges, and structured references
- Formulas that analysts actually use: VLOOKUP, INDEX-MATCH, SUMIFS, COUNTIFS, IFERROR
- Pivot tables and pivot charts: summarising and exploring large datasets
- Data validation, conditional formatting, and error-proofing analytical models
- Scenario analysis: Goal Seek, Data Tables, and Solver for business modelling
- Excel dashboard basics: presenting data in a format decision-makers can use
- Relational database concepts: tables, keys, and data relationships
- Core SQL syntax: SELECT, WHERE, ORDER BY, GROUP BY, and HAVING
- Joining tables: INNER JOIN, LEFT JOIN, and multi-table queries
- Aggregate functions: SUM, COUNT, AVG, MAX, MIN — the building blocks of analytical queries
- Subqueries and CTEs: writing structured, readable analytical SQL
- Working with real datasets: extracting insights by writing queries against a business database
- Power BI Desktop: workspace orientation and the report-model-data workflow
- Data import and Power Query: connecting to Excel, SQL databases, and CSV files
- Data modelling: relationships, fact tables, dimension tables, and star schema basics
- DAX fundamentals: calculated columns, measures, and the most important DAX functions
- Visualisations: choosing the right chart type and building clear, purposeful visuals
- Dashboard design: layout principles, colour usage, and building for the reader — not the builder
- Publishing and sharing: Power BI Service, scheduled refresh, and report distribution
- The problem with raw numbers: why data without context does not drive decisions
- Structuring an analytical narrative: what happened, why it happened, and what to do about it
- Choosing the right visualisation for the question being answered
- Building an executive-facing report: the difference between an analyst's working document and a stakeholder deliverable
- Annotating and contextualising visuals: titles, callouts, and guiding the reader's attention
- Python environment setup: Jupyter Notebooks and the analytics workflow
- pandas: loading data, inspecting, filtering, grouping, merging, and reshaping DataFrames
- Data cleaning in Python: handling missing values, duplicates, inconsistent formats, and outliers
- Matplotlib and Seaborn: creating publication-quality visualisations from Python
- Combining Python with SQL: pulling data from a database and analysing it in a pandas workflow
- Automating repetitive analytics tasks: when Python saves you hours of manual Excel work
- Dataset selection: a real-world business dataset across finance, e-commerce, healthcare, or operations
- Problem framing: defining the analytical questions the project will answer
- End-to-end analysis: SQL extraction, Python cleaning, Power BI visualisation, and written findings
- Stakeholder presentation: presenting the analysis as if briefing a business team — not a classroom
- Portfolio documentation: project write-up, tools used, methodology, and key findings
- An Excel analytical model — a scenario analysis or summary dashboard built on a provided business dataset
- A SQL analytical report — a series of queries written against a relational database, extracting specific business insights
- A published Power BI dashboard — connected to a real data source, with DAX measures and interactive slicers
- A stakeholder-facing analytical report — a Power BI report built for a defined non-technical audience with written commentary
- A Python analytics notebook — data cleaned, explored, and visualised using pandas and Seaborn
- An end-to-end analytics project using a real dataset — SQL extraction, Python analysis, Power BI dashboard, and a final presentation delivered as a business brief
Download Our Course Curriculum
Get the complete syllabus and module breakdown for Certification in Data Analytics.
Get curriculum by emailFAQ
Yes. Innotech Eduhub's Certification in Data Analytics program is designed with industry experts and includes hands-on projects, placement support, and certification to help you become job-ready.
Absolutely. Whether you are a beginner or looking to upskill, our Certification in Data Analytics course is structured to suit different levels with flexible timings and dedicated mentor support.
The Certification in Data Analytics course runs for 6 months. You will get live sessions, assignments, and project work to build a strong portfolio.
After completing our Certification in Data Analytics program, you can apply for roles in relevant domains. We provide placement assistance, resume building, and interview preparation to support your job search.
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View DetailsStudent achievements
What Students are Saying
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Arjun Mehta
Data Science Graduate
★★★★★
The depth of the Data Science program at Innotech genuinely surprised me. Every module was tied to a real business scenario. I stopped thinking like a student and started thinking like an analyst. I secured a role at a top analytics firm before I even officially completed the course.
Placed atAnalytics Firm
7 LPA
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Sriya Das
B.Voc Student (Cyber Security)
★★★★★
The practitioner-led approach at Innotech changed my entire perspective. I wasn't just learning Python code; I was learning how to solve real business problems. Within months of finishing the module, I secured a role in a top analytics firm.
Placed atCyberShield Technologies
6.5 LPA
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Rahul Chatterjee
Farm Machinery Student
★★★★★
What I love about Innotech is the flexibility. The Multiple Entry and Exit system allowed me to gain my Diploma while working part-time. The curriculum is so relevant that I felt like a pro from my very first day on the job.
Placed atAgriTech Solutions
5 LPA
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Debashree Roy
B.Voc Robotics & Farm Technology
★★★★★
Finding a course that covers both advanced robotics and farm-tech in Bengal was a game-changer. The hands-on training with actual machinery gave me the confidence to start my own consultancy. Innotech truly delivers on its promise of industry readiness.
Placed atSelf — Agri Consultancy
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Priya Banerjee
PG Diploma in Data Analytics
★★★★★
I came from a commerce background with zero coding experience. Innotech's structured PG Diploma built my skills from the ground up. The placement team was proactive and I landed a data analyst role within six weeks of completing the program.
Placed atInfosys BPM
5.8 LPA
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Soumik Ghosh
B.Voc Software Development
★★★★★
The live project exposure at Innotech is what sets it apart. I wasn't working on hypothetical assignments — I was solving real problems for real clients. That experience is what got me placed at a product company straight out of my second year.
Placed atTechMinds Pvt Ltd
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Tanisha Mukherjee
Certification in Digital Marketing
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I was managing a small family business and needed to bring it online. Innotech's digital marketing certification gave me exactly the practical skills I needed. Our business revenue increased significantly within three months of applying what I learnt.
Placed atFamily Business — Online
Self-employed
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Ritesh Mondal
Diploma in Industrial Automation
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The lab facilities at Innotech are genuinely industry-standard. Working on actual PLC panels and SCADA systems meant I could walk into my job on day one and contribute immediately. My employer told me I was the most job-ready candidate they had interviewed.
Placed atSiemens India
5.5 LPA
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Ananya Chakraborty
B.Voc AI & Machine Learning
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The faculty at Innotech are currently active in the industry — they bring real problems into the classroom. The AI curriculum was updated with the latest frameworks, which made a huge difference when I appeared for technical interviews. I got three offers and chose the best one.
Placed atWipro AI Lab
8 LPA
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Krishnendu Pal
Certification in Cloud & DevOps
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I used the Multiple Entry and Exit option to complete my AWS certification first and start working, then returned to finish the full Diploma. This flexibility is something no other institute in Kolkata offers. Innotech genuinely respects that students have lives outside the classroom.
Placed atAmazon Web Services Partner
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Placements
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Innotech Eduhub students come with strong fundamentals and are ready to contribute from day one. We have hired multiple candidates from their placement drives.
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Innotech Eduhub students come with strong fundamentals and are ready to contribute from day one. We have hired multiple candidates from their placement drives.
What Our Recruiters are Saying
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