This program is designed to prepare participants for the certification exam only.
A data analyst plays a key role in transforming raw data into actionable insights. They focus on collecting, cleaning, and analyzing data to support informed decision-making and drive business strategies. This training program provides a thorough grounding in the key skills and knowledge required for success in data analysis.
Perform advanced data analysis techniques to interpret and extract insights from complex datasets.
Create interactive and visually appealing reports and dashboards using Power BI.
Develop sophisticated data models to support analysis and reporting.
Apply principles of data governance to ensure data quality, security, and compliance.
Prepare for the certification exam.
Data Analysts.
Business Intelligence Professionals.
Data Scientists.
IT Specialists.
Professionals Seeking Data Analysis Skills.
Overview of data analysis and its role in business decision-making.
Identifying different types of data and their sources.
Techniques for collecting and preparing data for analysis.
How to conduct Exploratory Data Analysis (EDA) to summarize and visualize data.
Overview of Power BI and its components.
How to import data from various sources into Power BI.
Using Power Query to clean and transform data.
Creating basic charts and graphs in Power BI.
Handling missing data, outliers, and inconsistencies.
Advanced data transformation techniques using Power Query.
Merging and appending data from multiple sources.
Introduction to DAX and its application in data modeling.
Applying statistical methods to analyze data.
Building and evaluating predictive models using historical data.
Analyzing time-series data to identify trends and patterns.
Understanding and applying regression techniques for predictive modeling.
Exploring advanced data analysis projects in various industries.
Understanding data models and their importance.
Establishing relationships in Power BI models.
Implementing hierarchies and drill-downs for detailed analysis.
Using DAX to create calculated columns and measures.
Adding and customizing visuals in Power BI.
Designing interactive dashboards that enhance user experience.
Sharing and collaborating on Power BI reports and dashboards.
Integrating Power BI reports into other applications.
Understanding data governance and its importance.
Ensuring the accuracy, completeness, and reliability of data.
Implementing data security measures to protect sensitive information.
Understanding and adhering to data privacy regulations.
Designing reports that clearly communicate data insights.
Using data to tell compelling stories and drive decision-making.
Ensuring clarity, accuracy, and accessibility in report design.
Using Power BI to distribute reports within an organization.
Successful data reporting and communication strategies.
Exploring the latest tools and techniques in data analysis.
Using machine learning techniques for data analysis.
Applying cloud solutions for processing and analyzing large datasets.
Enhancing visualization skills using advanced tools.
Overview of the Certification Exam Structure.
Reviewing key topics and concepts covered in the exam.
Sample exam questions and their potential answers.
Resources and materials for further study.
