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Data Analytics Masters 2026 - From Basics To Advanced

Dr. Satyajit Pattnaik

5(17.2K students)

Self-paced

Beginner

About this course

Welcome to the Data Analytics Master's CourseCourse OverviewWelcome to your journey into the world of Data Analytics! This comprehensive course is designed to equip you with the essential skills and knowledge required to excel in the field of data analytics. Whether you are a beginner or looking to enhance your existing skill set, this course covers everything from foundational concepts to advanced applications.

What You Will LearnThis course is structured into several modules, each focusing on a critical aspect of data analytics:Introduction to Generative AIExplore the latest advancements in AI tools like ChatGPT and Grok. Understand how these tools can help in your journey. Python for Data AnalysisLearn the basics of Python and its libraries, including Pandas, NumPy, and Matplotlib.

Engage in hands-on exercises to manipulate and visualize data effectively. Exploratory Data Analysis (EDA)Understand the importance of EDA in data analytics. Gain skills in data cleaning, transformation, and visualization techniques.

Statistics for Data AnalyticsExplore key statistical concepts and their applications in data analysis. Apply statistical methods using real-world datasets. SQL for Data ManagementLearn how to interact with databases using SQL.

Develop skills to write complex queries and manage data effectively. Microsoft Excel for Data AnalysisMaster Excel's powerful features for data analysis. Use functions, pivot tables, and charts to derive insights.

Data Visualization with Power BI and TableauCreate interactive dashboards and reports using Power BI and Tableau. Understand best practices for effective data visualization. Microsoft Fabric with Power BI Integration (NEW)Explore the capabilities of Microsoft Fabric as a powerful datasource for Power BI, enabling seamless data integration.

Gain hands-on experience with lakehouse architecture and KQL to enhance your data analysis skills in a collaborative environment. Predictive AnalyticsDive into predictive modeling techniques. Learn to build and evaluate models using machine learning algorithms.

ETLBasicsETLbasics, difference between ETLvs ELTData warehousing theoretical concepts. Interview GuidesPrepare for your job search with tailored interview guides. Learn common interview questions and strategies to present your skills effectively.

Real-World Role Play Simulations for Analysts (NEW)Course StructureEnd-to-End Projects: Apply your knowledge in real-world scenarios with guided projects. Theory & Practicals: Each module combines theoretical knowledge with practical exercises to reinforce learning. Quizzes: Test your understanding and retention of the material with quizzes at the end of each module.

RolePlay:Real-World Role Play Simulations for Analysts (NEW)Learning ExperienceThis course is designed to be interactive and engaging. You'll have access to:Video Lectures: Clear and concise video tutorials for each topic. Discussion Forums: Connect with fellow students and instructors to share insights and ask questions.

Resources: Downloadable resources and additional reading materials to support your learning. Your Journey BeginsWe are excited to have you on board! This course aims to provide you with a well-rounded foundation in data analytics, preparing you for a successful career in this rapidly growing field.

As you progress, remember to leverage the tools and techniques introduced, especially the innovative AI tools that can streamline your workflow and enhance your analytical capabilities. Get StartedDive into the first module and start your journey today! Your future in data analytics awaits.

Skills you'll gain

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Course Information

Level: Beginner

Suitable for learners at this level

Duration: Self-paced

Total course content

Instructor: Dr. Satyajit Pattnaik

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This course includes:

📹Video lectures
📄Downloadable resources
📱Mobile & desktop access
🎓Certificate of completion
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Data Analytics Masters 2026 - From Basics To Advanced

About this course

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