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Uncodemy's Professional Certificate Program in Data Analytics With AI is designed for aspiring data analysts who want to master data cleaning, visualization, SQL, Python, Power BI, Tableau, and AI-powered analytics. With a perfect blend of theory and hands-on industrial training across 15+ real-world projects, this program prepares you to work on enterprise-level data analytics across Sales, Finance, HR, Marketing, Healthcare, E-Commerce, and more domains.
Work on real-world projects across Sales, Finance, HR, Marketing, Healthcare, E-Commerce, Retail, and Supply Chain domains.
Dedicated placement team with resume building, mock interviews, and job referrals to top MNCs.
Get globally recognized certification that adds credibility to your professional profile.
Learn from trainers with 10+ years of industry experience in data analytics and BI.
Master modern AI tools including ChatGPT, Gemini, Copilot, Claude, Perplexity, and Julius.
Get lifetime access to course materials, recordings, and community support.
Learn Excel fundamentals, SQL basics, and data visualization principles.
Master Python, Pandas, NumPy, data analysis, and visualization with Matplotlib/Seaborn.
Power BI dashboards, Tableau visualization, DAX formulas, and AI tools integration.
Apply your skills on 15+ industry projects with real-world data analytics scenarios.
Resume building, mock interviews, and soft skills training for job success.
Get placed as Data Analyst with dedicated placement assistance.
Tools Used: Power BI, Excel, SQL
Concepts: Data Cleaning, KPI Tracking, Data Visualization
Major Topics: DAX Formulas, Power BI Modeling, Data Relationships
Description: Create an interactive sales dashboard that tracks region-wise and product-wise sales trends and KPIs.
Scope: Improve business visibility and enable quick decision-making through visual analytics.
Who Should Do: Aspiring Business Analysts, Sales Analysts
Prerequisites: Excel basics, Power BI visualization, SQL Joins
Experience Gained: Dashboard building, DAX measure creation, KPI design
Career Outcome: Business Analyst / Sales Reporting Analyst
Tools Used: Python, Pandas, Excel
Concepts: Descriptive Analytics, Data Segmentation, Trend Analysis
Major Topics: Data Manipulation, Aggregation, Visualization using Matplotlib
Description: Analyze customer transactions to find buying frequency, average basket value, and churn indicators.
Scope: Segment customers for marketing and retention strategies.
Who Should Do: Retail & E-commerce Analysts
Prerequisites: Python basics, EDA techniques
Experience Gained: Data wrangling and behavioral insight generation
Career Outcome: Customer Insights Analyst
Tools Used: Excel, SQL, Power BI
Concepts: KPI Design, Variance Analysis, Data Aggregation
Major Topics: DAX Measures, Financial Ratio Calculation
Description: Build financial reports that track revenue, expenses, and profit margins across departments.
Scope: Monitor organizational financial health through automated dashboards.
Who Should Do: Students interested in finance and banking analytics
Prerequisites: Excel formulas, SQL basics
Experience Gained: Financial KPI development and variance insight
Career Outcome: Financial Data Analyst
Tools Used: Python, Pandas, Power BI
Concepts: Statistical Analysis, EDA, Data Visualization
Major Topics: Correlation, Regression, Dashboarding
Description: Analyze employee data to identify attrition reasons and satisfaction levels.
Scope: Improve retention strategies and resource planning.
Who Should Do: HR Analysts and Workforce Planners
Prerequisites: Basic Python statistics
Experience Gained: Correlation study and KPI development
Career Outcome: HR Data Analyst
Trending Technology: Predictive HR Dashboards
Tools Used: Excel, Power BI
Concepts: Profit Margin Analysis, KPI Visualization
Major Topics: Slicers, Charts, Conditional Formatting
Description: Evaluate store and product-wise profitability and identify growth areas.
Scope: Optimize pricing and inventory management.
Who Should Do: Retail Business Analysts
Prerequisites: Excel formulas, Pivot Tables
Experience Gained: Dashboard Design and Data Summarization
Career Outcome: Retail Data Analyst
Trending Technology: Power Query & DAX Automation
Tools Used: Python, Pandas, Tableau
Concepts: Time-Series Analysis, Data Cleaning, Visualization
Major Topics: Line Charts, Trend Analysis, KPIs
Description: Analyze global COVID data to monitor cases, recoveries, and vaccination rates.
Scope: Track pandemic trends and health insights over time.
Who Should Do: Data Analysts in healthcare/public sector
Prerequisites: Tableau basics, Python EDA
Experience Gained: Time-series visualization and trend interpretation
Career Outcome: Public Health Data Analyst
Trending Technology: Tableau Public
Tools Used: Excel, SQL, Power BI
Concepts: Campaign ROI, Conversion Analytics
Major Topics: SQL Joins, DAX Metrics, KPI Dashboard
Description: Measure marketing effectiveness across channels and campaigns.
Scope: Optimize marketing budget and customer engagement strategies.
Who Should Do: Marketing and Digital Analysts
Prerequisites: SQL queries, Power BI basics
Experience Gained: ROI and conversion rate calculation
Career Outcome: Marketing Data Analyst
Tools Used: Python, Pandas, Excel
Concepts: Recency-Frequency-Monetary Analysis
Major Topics: Data Binning, EDA, Clustering
Description: Segment customers based on their purchase behavior and spending patterns.
Scope: Support targeted marketing and retention plans.
Who Should Do: E-commerce Data Analysts
Prerequisites: Basic Statistics, Python EDA
Experience Gained: Customer Behavior Segmentation
Career Outcome: Business Data Analyst
Tools Used: Power BI, SQL
Concepts: Data Modeling, KPI Visualization
Major Topics: Lead Time, Inventory Turnover, Supplier Performance
Description: Monitor logistics, inventory cycles, and order fulfillment efficiency.
Scope: Enable data-driven supply chain optimization.
Who Should Do: Operations & Logistics Analysts
Prerequisites: SQL queries, Power BI visuals
Experience Gained: Supply Chain KPI tracking
Career Outcome: Supply Chain Data Analyst
Trending Technology: Dynamic Power BI Dashboards
Tools Used: Excel, Python
Concepts: Regression Analysis, Trend Forecasting
Major Topics: Moving Averages, Time-Series Charts
Description: Predict future sales based on historical data patterns.
Scope: Assist business planning and budget allocation.
Who Should Do: Retail and FMCG Analysts
Prerequisites: Excel charts, Python basics
Experience Gained: Statistical forecasting skills
Career Outcome: Forecast Analyst
Trending Technology: Excel Power Pivot
Tools Used: Python, Excel, Tableau
Concepts: Engagement Metrics, Trend Analysis
Major Topics: EDA, Dashboard Visualization
Description: Analyze social media metrics to measure brand engagement and growth.
Scope: Help optimize digital marketing strategies.
Who Should Do: Social Media & Marketing Analysts
Prerequisites: Tableau visualization basics
Experience Gained: Data reporting and correlation analysis
Career Outcome: Digital Analytics Specialist
Trending Technology: Tableau Storytelling
Tools Used: SQL, Power BI
Concepts: Sales KPI Tracking, Profitability Analytics
Major Topics: Data Modeling, DAX Calculations
Description: Monitor product sales and profit margins across categories.
Scope: Support product and pricing decisions.
Who Should Do: E-commerce and Retail Analysts
Prerequisites: SQL, Power BI Modeling
Experience Gained: Data visualization and product KPI analysis
Career Outcome: E-commerce Analyst
Trending Technology: Embedded Analytics in Power BI
Tools Used: Python, Pandas, Excel
Concepts: Descriptive Statistics, Data Cleaning
Major Topics: Central Tendency, Correlation, Charts
Description: Analyze hospital records to find admission trends and outcomes.
Scope: Support health planning and resource allocation.
Who Should Do: Healthcare Analysts
Prerequisites: Python EDA, Excel charts
Experience Gained: Healthcare data exploration
Career Outcome: Healthcare Data Analyst
Tools Used: SQL, Excel, Python
Concepts: KPI Calculation, EDA, Trend Detection
Major Topics: Default Rate, Loan Approval Trends
Description: Analyze loan portfolios to measure repayment performance.
Scope: Improve loan management and risk evaluation.
Who Should Do: Finance and Banking Students
Prerequisites: SQL queries, Excel formulas
Experience Gained: Risk and portfolio data analysis
Career Outcome: Loan Analytics Specialist
Trending Technology: SQL Data Pipelines
Tools Used: Python, Pandas, Matplotlib
Concepts: EDA, Visualization, Data Aggregation
Major Topics: Scatter Plots, Box Plots, Histograms
Description: Analyze movie ratings to discover viewer preferences and trends.
Scope: Support media marketing and content strategy.
Who Should Do: Entertainment Data Analysts
Prerequisites: Python data visualization libraries
Experience Gained: Trend analysis and data storytelling
Career Outcome: Media Data Analyst
Trending Technology: Python Matplotlib & Seaborn
"Uncodemy has truly transformed my learning journey! The practical sessions, real-time projects, and continuous mentor guidance helped me build strong analytical skills and industry-ready knowledge. I'm thrilled to join FedEx as a Data Analyst with a package of 10.6 LPA. Big thanks to the Uncodemy team for their constant support and placement guidance!"
"Uncodemy has been a turning point in my professional journey! The comprehensive training modules, real-world projects, and consistent mentor support equipped me with the knowledge and confidence to excel in interviews. I'm thrilled to begin my new role as a Senior Associate Consultant at Cubastion with a package of 9.5 LPA. Heartfelt thanks to the Uncodemy team for their expert guidance and placement assistance throughout my journey!"
"Enrolling at Uncodemy was a turning point in my learning journey. The mentors guided me with real-world projects, practical sessions, and continuous feedback that built my confidence. The placement team provided incredible support throughout the interview process, helping me secure my role as a Data Quality Analyst at Qualys. Thankful to Uncodemy for their guidance and constant encouragement!"
"My journey with Uncodemy has been truly rewarding. The trainers ensured that each session was interactive, insightful, and focused on practical learning. Their structured curriculum and dedicated placement support helped me gain the confidence to crack interviews and get placed as an Intellectual Property Analyst at Clarivate. A big thanks to Uncodemy for shaping my career path with the right guidance and opportunities!"
"Uncodemy played a crucial role in transforming my career. The trainers were knowledgeable, approachable, and always focused on practical learning. The hands-on training, live projects, and personalized guidance made complex concepts easy to understand. The placement team supported me throughout the process, from preparation to interviews, which helped me secure my role as a Data Analyst at Finelabs."
"Uncodemy has been a game changer in my learning and career journey. The mentors provided in-depth training, industry-based projects, and continuous guidance that built my confidence and practical skills. The placement team at Uncodemy was incredibly supportive—from resume preparation to interview practice, they helped me at every stage. I'm truly thankful to Uncodemy for helping me begin my career as an IP Renewals Analyst at Clarivate."
"Uncodemy has been a turning point in my professional journey. The mentors not only provided excellent technical training but also focused on real-world applications and interview readiness. The placement support was incredible—from guiding me in resume building to preparing me for interviews. I'm grateful to Uncodemy for helping me secure my position as an MIS Executive at Fabricroot. Thank you, Uncodemy, for shaping my career with the right skills and guidance!"
"Uncodemy has played a vital role in shaping my career path. The trainers were highly knowledgeable and always encouraged practical learning along with conceptual clarity. The interview preparation sessions and placement support were extremely helpful—from resume guidance to mock interviews, every step made a difference. I'm thankful to Uncodemy for helping me start my journey as a Research Analyst at MarkScan. It's been an amazing experience!"
"I'm from Ghaziabad and joined the data analytics course at Uncodemy. We covered Excel, Power BI, and SQL. The course is beginner-friendly, and the project work helped during interviews."
"Academy has the best data analytics course in Delhi. From SQL to Power BI, everything was taught practically. I'm now working in the analytics team of an ecommerce company."
"I joined the data analytics course in Noida and it was a great choice. We covered Excel, SQL, and Power BI with live assignments. The trainer was really supportive."
"Being in Ghaziabad, I joined Uncodemy's data analytics course to improve my Excel and Power BI skills. The trainer explained everything step by step, and now I'm applying for analytics jobs with confidence."
"Uncodemy's data analytics course in Pune helped me go from beginner to job-ready. I now work in the analytics team of an ecommerce brand. Power BI and Excel training were the best."
"Uncodemy offers the best data analyst course in Noida. I had zero SQL knowledge, but thanks to Anshul Sir, I now handle dashboards and data reports confidently at work."
"The Data Analytics course from Uncodemy was very helpful. The sessions were live and clear, with hands-on training. I now work as a junior analyst, thanks to their support."
"I had zero experience in analytics, but this online course from Uncodemy made it all clear. From Excel to Power BI, the trainer explained everything slowly and clearly. I now feel ready to work on data projects."
"I joined for data analytics placement course online. The really excellent team was maintained with the best teaching skills and professional experience. The uncodemy team really helped me with my career switch in IT."
"My name is Rajat, and I recently completed the Data Analytics course from Uncodemy at their Noida branch. My trainer was Irshad Sir, and he was an excellent mentor. He taught every topic in a very easy and practical way, which helped me understand the concepts clearly. His guidance really made a difference in my learning journey."
The program duration is 6 to 7 months with flexible batch timings for working professionals and students.
Yes! The course starts from basics and gradually progresses to advanced topics. No prior programming experience required.
Our students receive average placement packages ranging from ₹8 LPA to ₹28 LPA depending on skills and company requirements.
Yes, we provide 100% placement assistance including resume building, mock interviews, job referrals, and soft skills training.
Yes, Uncodemy is a NASSCOM certified training partner, and the certification is recognized globally by top IT companies.
Yes, we offer both online and offline training modes with live interactive sessions and lifetime access to recordings.
Master cross-browser testing, CI/CD pipelines, API validation, and AI-powered tools with hands-on industry projects. Secure top placements with ₹8–28 LPA packages.
Become a data expert with Python, machine learning, AI, deep learning, and data visualization. Work on real-world datasets and predictive models for top IT roles.
Learn advanced analytics, business intelligence, SQL, Power BI, Tableau, and data-driven decision-making for FinTech, E-Commerce, and enterprise domains.
Build modern web applications with React, Node.js, MongoDB, Express, and cloud deployment. Learn end-to-end development with live industry projects.
Master REST & SOAP API testing using Postman, RestAssured, Selenium, and automation frameworks. Learn API validations, CI/CD integration, token-based auth, test reporting, and real-time industry projects.
Become a certified business analyst with AI-powered tools. Learn data analytics, forecasting, Power BI, SQL, Python, ML models, dashboards, and decision-making with real-world case studies.