Most data Analysis courses hand you a certificate and leave you guessing what to do with it. Skillfloor's Certified Data Analysis Professional program is built around what hiring managers actually evaluate — applied skills, real data project experience, and recognised certification that carries weight the moment someone sees your resume.
This data Analysis professional certificate program covers every core domain: SQL, Python, Power BI, Tableau, Excel Analysis, statistics, machine learning basics, and business intelligence. Each module is taught with hands-on exercises and mentor support from practitioners actively working in data roles. Every learner completes one data analysis project built around real business datasets.
You analyse, model, visualise, and present insights the same way an analyst would in a company setting. That project becomes your most credible portfolio piece going into interviews. The data Analysis course with placement support includes resume guidance, mock interviews, and recruiter referrals. The certification stack, including credentials accredited by NASSCOM and Futureskills Prime, puts your profile clearly above candidates holding only a course completion record.
Data analyst course fees start at ₹14,900. Both online and classroom batches are available, making this data analyst certification course accessible whether you are a student, a working professional, or making a full career switch.
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✅ Data Analysis Project (1 per learner — compulsory): Work on a structured, data-driven business problem. Includes exploratory data analysis, visualisation, and insight reporting. This becomes your primary portfolio asset for interviews.
✅ Internship Exposure: Understand how Analysis workflows run inside real organisations, from raw data handling to stakeholder reporting.
✅ Data Analyst Course Fees from ₹14,900: Accessible pricing that gives you full data Analysis program access, project work, and every certification included.
✅ 10+ Industry Certifications: Earn your certified data analyst credential along with tool-specific certifications that employers can verify directly.
✅ 10+ Tools Covered: SQL, Python, Power BI, Tableau, Excel, Google Sheets, and more — the exact stack listed in most data analyst job descriptions across India.
✅ Learning Modes (Online + Classroom): Choose the data analyst course online format or attend in-person sessions based on your city and schedule.
✅ Batch Options: Weekday / Weekend / Fast-Track. Built for students, job seekers, and working professionals with varying time availability.
Upon successful completion of Skillfloor’s Certified Data Analysis Professional Course, you will receive an industry-recognized Skillfloor Certificate along with FutureSkills Prime and NASSCOM-accredited certifications, all LinkedIn-shareable and valued by employers. This certification validates your skills in data analysis, data visualization, Excel, SQL, Python, Power BI, and business intelligence for strong career opportunities in analytics and data-driven industries. You will gain hands-on experience through a structured internship with a 1-student–1-project model, working on real-world data analysis tasks such as dashboard creation, reporting, data cleaning, and business insight projects. Along with this, you receive 100% placement support, including resume building and interview preparation. This prepares you for job-ready roles in data analysis, business intelligence, and analytics-driven organizations.
Skillfloor is a Government-Recognized Skill Development Institute under Startup India (DPIIT), offering career-focused certification programs in Analytics, Artificial Intelligence (AI), Data Science, Digital Marketing, SEO, and related domains. As one of India’s largest training institutes, our courses emphasize hands-on projects, expert mentorship, and skills aligned with real hiring needs. With flexible learning options - online, offline, and hybrid, plus 100% scholarships for selective students, we make quality, job-ready education accessible.
Explore the program that aligns with your goals and take the next step with Skillfloor.
Data Analysis Foundations: Understand the Analysis lifecycle, data types, business metrics, and how data drives decisions across functions. Build the strategic thinking layer before touching tools.
SQL for Data Analysis: Write queries, filter, aggregate, join, and clean data inside relational databases. SQL is the baseline requirement for every data analyst role on the market.
Python for Analysis: pandas, NumPy, matplotlib, and seaborn. Use Python to manipulate large datasets, run statistical summaries, and generate automated reports.
Statistics and Probability: Descriptive and inferential statistics, hypothesis testing, distributions, and correlation. These are the building blocks behind every Analysis interpretation.
Power BI and Tableau: Build interactive dashboards and visual reports that business stakeholders can read and act on. Visual storytelling is one of the most demanded skills in data analyst classes and on the job.
Excel and Google Sheets for Analysis: Pivot tables, VLOOKUP, INDEX-MATCH, charts, and automation. Still one of the most frequently used tools in day-to-day analyst work.
Machine Learning Basics for Analysts: Regression, classification, and clustering at the conceptual and applied level. Understand how ML outputs are used in business decision-making, even if you are not a data scientist.
Business Intelligence and Reporting: Understand KPI tracking, dashboard design, stakeholder reporting, and turning data insights into business recommendations.
Data Cleaning and Preparation: Handle missing values, outliers, inconsistent formats, and messy real-world datasets — the task that takes up 60–70% of an analyst's day.
Capstone Project: Apply everything across a full Analysis problem — from raw data to a final dashboard and insight presentation.
At Skillfloor, you don't just study tools. You log into them, build real outputs, and walk out of the data Analysis course with hands-on experience that translates directly into job execution.
SQL: MySQL, PostgreSQL
Programming: Python (pandas, NumPy, matplotlib, seaborn)
Visualisation: Power BI, Tableau, Looker Studio
Spreadsheets: Microsoft Excel, Google Sheets
Statistics Tools: Jupyter Notebook, Google Colab
Business Intelligence: Power Query, DAX, Tableau Prep
This data analyst certificate online and classroom program is priced to be accessible without compromising on the quality of training or outcomes.
Course Name: Certified Data Analysis Professional
Duration: 6 weeks of training + internship component
Mode: Online Live / Classroom / Hybrid
Fees: Starts at ₹14,900
EMI: Available — No Cost EMI options
Data Analysis Project: Included (1 per learner, compulsory)
Whether you are a student or a working professional, there is a batch that fits your timing. This data Analysis course is available both online and across multiple cities in India.
Weekday Batch: Monday to Friday ● 1.5 hours per day ● Morning and evening slots available
Weekend Batch: Saturday and Sunday ● 4–5 hours per session ● Ideal for working professionals
Fast-Track Batch: Intensive format ● Completed in 4–6 weeks ● Full curriculum, accelerated pace
Online Live Batch: Instructor-led, fully interactive ● Access session recordings for lifetime
Classroom Batch: Available in Bangalore, Hyderabad, Chennai, Pune, Ahmedabad, and more cities
Skillfloor's Data Analysis professional certificate gives you a stack of credentials that employers evaluate during shortlisting.
Skillfloor Certified Data Analysis Professional: Issued upon successful completion of coursework, capstone project, and assessment. The primary credential from this program.
Internship Certificate: A formal completion certificate from a real Analysis environment. This is what hiring managers want to see alongside a data analyst certificate course.
NASSCOM · Futureskills Prime: Recognised industry body certifications included. NASSCOM and Futureskills Prime are government-backed credentials.
10+ Tool and Skill Certifications: Tableau, Power BI, SQL, Python, Excel, and more — each adding a verifiable, platform-specific credential to your profile.
Skillfloor's placement support is active and dedicated. Here is what every certified data analyst graduate receives.
Resume Building: Data-specific templates reviewed by Analysis leads and HR professionals.
LinkedIn Profile Optimisation: Profile audit, keyword alignment, and visibility strategies for recruiters.
Mock Interviews: Domain-specific rounds conducted by practising data analysts and BI professionals.
Job Referrals: Active tie-ups with Analysis teams at startups, e-commerce companies, banks, and consulting firms.
Portfolio Review: Your capstone project is packaged and reviewed to make a strong impression in interviews.
Interview Prep: Common data analyst interview questions, SQL test walkthroughs, case study practice, and salary negotiation guidance.
No prior technical background required. Just the interest and intent to learn Analysis and apply it.
Fresh Graduates: You want a career in data and need a professional data analyst certification course that employers respect.
Working Professionals: You're in operations, finance, marketing, or IT and want to switch into Analytics with structured, credentialed training.
Marketing and Business Executives: You work with data regularly and want to formalise your skills with a certified Analysis professional credential.
Business Owners: You want to read your own data, build dashboards, and stop relying on external consultants for every decision.
Freelancers: You want a verifiable data analyst certificate online to command better client rates.
Career Switchers: Coming from HR, sales, or another domain and want to enter one of the fastest-growing professional fields with a strong foundation.
Every learner completes one dedicated Analysis project built around real business data. Instead of only absorbing theory, you will analyse datasets, build dashboards, draw insights, and present findings the way a practising analyst would in a company.
What You Will Build:
✔ A full exploratory data analysis on a real-world dataset
✔ Interactive dashboards in Power BI or Tableau
✔ Statistical summaries and trend identification
✔ A final insight report structured for a business audience
✔ A portfolio-ready presentation you can walk into any interview with
At the end of the program, you present your completed Analysis project to industry mentors in a structured review session. This is where technical knowledge becomes a communication skill.
During the Final Presentation, You Will:
✔ Receive expert feedback on your analysis and methodology
✔ Improve your data storytelling and presentation delivery
✔ Learn how to explain technical findings to non-technical stakeholders
✔ Build a stronger portfolio with mentor-guided refinements
✔ Develop professional confidence for technical and panel interviews
✔ Gain real-world exposure that goes well beyond classroom learning
Graduates move into roles across Analysis teams, consulting firms, e-commerce companies, banks, and startups. The demand for certified data Analysis professionals across India continues to grow year on year.
Data Analyst ● Business Intelligence Analyst ● Reporting Analyst ● SQL Developer ● Data Operations Analyst ● BI Developer ● Product Analyst ● Marketing Analysis Specialist ● Financial Data Analyst ● Freelance Data Consultant
Enroll Now in the Certified Data Analysis Professional Program — Seats Are Limited Per Batch
Overview of Data Analysis: Importance, Applications, and Tools
Types of Data: Structured vs. Unstructured Data
Data Collection Methods: Surveys, APIs, Web Scraping, etc.
Introduction to Data Formats: CSV, JSON, XML, Excel
Basic Statistical Concepts: Mean, Median, Mode, Variance, Standard Deviation
Data Visualization Fundamentals: Bar Charts, Line Charts, Pie Charts
Handling Missing Data: Imputation Methods, Dealing with Nulls
Data Standardization and Normalization: Rescaling Data
Removing Duplicates and Outliers: Detecting and Correcting Anomalies
Data Transformation: Encoding Categorical Variables, Feature Scaling
Introduction to Data Wrangling: Merging, Filtering, and Subsetting
Data Integrity: Ensuring Consistent and Accurate Data
Introduction to EDA: Purpose and Steps in EDA
Descriptive Statistics: Central Tendency and Dispersion
Data Visualization Techniques for EDA: Histograms, Boxplots, Scatterplots
Correlation Analysis: Identifying Relationships Between Variables
Hypothesis Testing: T-tests, ANOVA, and P-values
Identifying Data Patterns: Trends, Seasonality, and Anomalies
Excel for Data Analysis: Formulas, Pivot Tables, and Lookup Functions
Advanced Excel: Macros, Conditional Formatting, and Charting Techniques
Introduction to SQL: Basic Commands (SELECT, INSERT, UPDATE, DELETE)
Data Querying with SQL: JOINs, Subqueries, and Aggregation
Filtering and Sorting Data in SQL: WHERE, ORDER BY, and GROUP BY Clauses
Data Analysis with SQL: Using Functions and Advanced Querying Techniques
Introduction to Python for Data Analysis: Jupyter Notebooks and Pandas
Data Loading in Python: Reading CSV, Excel, JSON, and SQL Databases
Data Manipulation with Pandas: Filtering, Grouping, and Aggregation
Visualization in Python: Matplotlib and Seaborn Basics
Statistical Analysis in Python: Descriptive Stats, Correlation, Regression
Automating Data Analysis Workflows in Python
Introduction to Machine Learning Concepts for Data Analysts
Regression Analysis: Simple and Multiple Linear Regression
Clustering and Classification: K-means, Decision Trees
Time Series Analysis: Forecasting and Trend Analysis
Reporting Insights: Creating Dashboards and Reports with Power BI/Tableau
Data Storytelling: Presenting Data-driven Insights for Decision-making
A certified data analysis associate is someone who has earned a recognized certification in data analysis, showing they have the skills and knowledge to work in the field.
To become certified, you typically need to complete specific training courses and pass an exam administered by a certifying body.
Skills like problem-solving, critical thinking, attention to detail, and proficiency in tools like Excel, Python, or R are essential for data analysis.
You can pursue roles like data analyst, business analyst, data scientist, or market analyst in various industries.
obtaining certification can provide you with valuable skills and credentials that can enhance your career prospects and earning potential.
The exam usually tests your knowledge of data analysis techniques, tools, and best practices.
Many certification programs offer online courses and exams, making it convenient to study and test from anywhere.