Full Data Analysis Certification

Become a certified data analyst with Udeck Services’ Full Data Analysis Certification Course. Master Excel, SQL, Python (Pandas, NumPy), Power BI, Tableau, and work on live projects to build real-world skills for your career in data analytics.

Beginner 5(1 Ratings) 1 Students enrolled
Created by Udeck Services Last updated Wed, 16-Jul-2025 English
What will i learn?
  • Master End-to-End Data Analysis Tools including Excel, SQL, Python, Power BI, and Tableau.
  • Gain the ability to analyze and interpret complex datasets for actionable business insights.
  • Learn to create professional dashboards and reports for effective data visualization.
  • Work on real industry projects to build practical, job-ready skills.
  • Receive industry-recognized certification provided by Udeck Services.

Curriculum for this course
74 Lessons 00:00:00 Hours
Duration
4 Lessons 00:00:00 Hours
  • Course Duration: 6 Months 00:00:00
  • Mode: Available in Offline & Online 00:00:00
  • Level: Beginner to Intermediate 00:00:00
  • Get 40% OFF by enrolling in the online training mode! 00:00:00
  • What is Data Analytics? 00:00:00
  • Data-Driven Business Culture 00:00:00
  • Analytics in Finance, Marketing, Healthcare, Retail, E-commerce 00:00:00
  • Overview of Data Analyst, Business Analyst, and BI Roles 00:00:00
  • Stages: Define, Collect, Clean, Analyze, Visualize, Interpret 00:00:00
  • Stakeholder Requirements & Problem-Solving Approaches 00:00:00
  • Overview of Agile Methodology in Analytics Projects 00:00:00
  • Practical Example: End-to-End Data Project Workflow 00:00:00
  • Advanced Formulas (IF, VLOOKUP, INDEX-MATCH, TEXT Functions) 00:00:00
  • Data Cleaning & Transformation 00:00:00
  • Pivot Tables, Charts, and Dashboards 00:00:00
  • Automation with Macros (Introductory) 00:00:00
  • Excel for Business Insights & Reporting 00:00:00
  • Database Design Fundamentals (RDBMS, ER Models) 00:00:00
  • Advanced SQL Queries: Joins, Subqueries, CTEs, Aggregations 00:00:00
  • Functions, Views, Stored Procedures 00:00:00
  • Data Extraction, Transformation, Loading (ETL) Basics 00:00:00
  • Real-Life Business Reporting with SQL 00:00:00
  • Python Basics: Variables, Loops, Conditions, Functions 00:00:00
  • File Handling, JSON, CSV Operations 00:00:00
  • Python for Data Input/Output Operations 00:00:00
  • Python IDEs: Jupyter, VS Code 00:00:00
  • Working with Pandas DataFrames 00:00:00
  • Data Cleaning, Wrangling, Merging 00:00:00
  • NumPy for Efficient Numerical Computation 00:00:00
  • Handling Missing Values, Outliers 00:00:00
  • Grouping, Sorting, and Reshaping Data 00:00:00
  • Descriptive Statistics (Mean, Median, Mode, Variance, Std Dev) 00:00:00
  • Correlation Analysis 00:00:00
  • Trend Identification 00:00:00
  • Detecting Patterns, Outliers 00:00:00
  • Preparing Data for Visualization 00:00:00
  • Line, Bar, Scatter, Histogram, Heatmaps 00:00:00
  • Plot Styling for Presentations 00:00:00
  • Multi-Plot Grids for Comparative Analysis 00:00:00
  • Real-World Visualization Practices 00:00:00
  • Power BI Desktop & Cloud Setup 00:00:00
  • Connecting to Multiple Data Sources 00:00:00
  • DAX Functions (Calculated Fields, Measures) 00:00:00
  • Designing Interactive Dashboards 00:00:00
  • Power BI Services: Sharing, Publishing, Collaboration 00:00:00
  • Tableau Interface Overview 00:00:00
  • Connecting Data Sources & Creating Joins 00:00:00
  • Advanced Visual Analytics: Filters, Sets, Parameters 00:00:00
  • Interactive Dashboards, Stories, Maps 00:00:00
  • Real-Time Dashboard Development 00:00:00
  • Importance of Data Quality in Analytics 00:00:00
  • Detecting Errors, Duplicates, Inconsistencies 00:00:00
  • Standardization Techniques 00:00:00
  • SQL & Python for Data Cleaning 00:00:00
  • Reporting Clean Data for Business Use 00:00:00
  • Basic Statistical Methods (Descriptive, Inferential) 00:00:00
  • Hypothesis Testing 00:00:00
  • Regression Analysis (Linear, Logistic) 00:00:00
  • Statistical Thinking for Analytics Professionals 00:00:00
  • KPIs & Metrics for Business Functions 00:00:00
  • Visual Storytelling: Presenting to Non-Technical Audiences 00:00:00
  • Designing Executive-Level Dashboards 00:00:00
  • Reporting for Finance, Marketing, Operations 00:00:00
  • Comparing BI Tools: Excel vs Power BI vs Tableau 00:00:00
  • Project 1: Retail Sales Analysis (SQL, Python, Power BI) 00:00:00
  • Project 2: Financial Data Reporting (Excel, Tableau) 00:00:00
  • Project 3: Healthcare Data Analysis (Python, Visualization) 00:00:00
  • Final Capstone: End-to-End Data Analytics Project 00:00:00
  • Presenting Your Project Portfolio Professionally 00:00:00
  • Resume Building for Analytics Roles 00:00:00
  • Portfolio Development (LinkedIn, GitHub, Kaggle) 00:00:00
  • Mock Interviews (SQL, Python, Power BI, Tableau) 00:00:00
  • Industry Certifications Guidance (Power BI, Tableau, Python) 00:00:00
  • Certification Provided by Udeck Services 00:00:00
Requirements
  • Laptop or desktop system
  • Basic Computer Knowledge
  • Willingness to practice coding consistently
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Description

Udeck Services offers a comprehensive Full Data Analysis Certification designed to transform complete beginners into job-ready data analysts. This program covers the entire data analysis lifecycle, starting from Excel basics to mastering SQL for databases, Python (Pandas, NumPy) for data handling, and Power BI / Tableau for powerful data visualization.

Throughout this course, learners will gain hands-on experience through live industry projects, ensuring practical application of all concepts learned. The training emphasizes real-world business scenarios, reporting techniques, and dashboard building so participants are fully prepared to enter the job market with confidence.

By completing this program, you’ll have the skills to clean, analyze, visualize, and interpret large datasets, and deliver insights that support business decision-making.

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About the instructor
  • 76 Reviews
  • 50 Students
  • 51 Courses
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Udeck Services
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  • Thu, 17-Jul-2025
    chandan kumar
₹55000
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Includes:
  • 00:00:00 Hours On demand videos
  • 74 Lessons
  • Access on mobile and tv
  • Full lifetime access

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