Certificate in Data Analytics

Data Analysts enable businesses to maximize the value of their data assets by using Power BI. As a subject matter expert, data analysts are responsible for designing and building scalable data models, cleaning and transforming data, and enabling advanced analytic capabilities that provide meaningful business value through easy-
to-comprehend data visualizations. Data analysts also collaborate with key stakeholders across verticals to deliver relevant insights based on identified business requirements.

The Data Analyst should have a fundamental understanding of data repositories and data processing both on-premises and in the cloud.

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Eligibility Requirement

  • Participants should also have knowledge of data warehouse schema topology, programming concepts such as looping and branching, understanding of key business priorities, and familiarity with Microsoft Office apps (especially Microsoft Excel)

Job Opportunities

  • Data analysts
  • Business Intelligence professionals
  • Professionals who use Power BI
  • Professionals who manage data for decision-making
  • IT Managers
  • Data Scientists
  • Anybody who wants to<

Tools and Technologies used

Course Content

Data Analysis in Excel - Summarizing Data, Analyzing Data for Decision Making, Exchanging Data Between Various Sources,   Analyzing and Presenting Complex Data Statistics for Analytics.

Introduction to Statistics and Analytics - Data Representation, Forecasting Techniques, Causality and Correlation, Hypothesis Testing, Parametric and Non-Parametric Tests Programming in Python.

Overview of Python and VSCode - Introduction to Python, pip, packages, Introduction to Python libraries, Data structures and data types in Python, Variables and Operators, Statements in Python.

Introducing Machine Learning - Managing and Understanding Data, Lazy Learning – Classification Using Nearest Neighbors, Probabilistic Learning – Classification Using Naive Bayes, Divide and Conquer – Classification Using Decision Trees and Rules, Regression Methods.

  • Projects: Final Project
  • Training Materials: Moodle
  • Assessments : 3 Exams by Moodle MCQ
  • Certifications: Certified Analytics Professional.