Introduction to Data Analytics & Google Analytics

• Introduction to Data Analytics
  • What is data analytics and why is it important?
  • The data analysis process: collecting, cleaning, analyzing, and interpreting data.
  • Types of data analysis: descriptive, diagnostic, predictive, and prescriptive.
• Overview of Google Analytics
  • Introduction to Google Analytics interface and features.
  • Setting up Google Analytics for a website.
  • Understanding key metrics: sessions, users, bounce rate, conversion rates, etc.
  • Tracking and analyzing website traffic and user behavior.
• Using Google Analytics for Business Insights
  • Setting up goals and events to track user interactions (e.g., sign-ups, purchases).
  • Analyzing traffic sources: organic, paid, direct, referral, and social.
  • Audience insights: demographics, interests, and user behavior.

Google Sheets for Data Management and Analysis

• Introduction to Google Sheets for Data Analysis
  • Overview of Google Sheets interface and features.
  • Importing and organizing data into Sheets.
  • Essential data functions (e.g., SUM, AVERAGE, COUNTIF, VLOOKUP).
• Cleaning and Organizing Data
  • Identifying and handling missing or inconsistent data.
  • Sorting and filtering data for better insights.
  • Using data validation to ensure accuracy.
• Basic Data Analysis Techniques in Google Sheets
  • Using pivot tables for summarizing and analyzing data.
  • Introduction to charts and graphs: visualizing trends in data.
  • Creating simple dashboards using Google Sheets.

Data Visualization with Google Data Studio & Reporting

• Introduction to Google Data Studio
  • Overview of Google Data Studio: connecting to data sources and creating reports.
  • Connecting Google Analytics, Google Sheets, and other data sources to Data Studio.
  • The importance of data visualization in decision-making.
• Building Dashboards and Visual Reports
  • How to design clear, actionable dashboards.
  • Using charts, graphs, tables, and scorecards to display key metrics.
  • Customizing the look and feel of reports (themes, styles, and layout).
• Sharing and Collaborating on Reports
  • How to share reports with stakeholders.
  • Setting up automatic data refresh and real-time updates.
  • Collaborative features in Google Data Studio for team projects.

• Data Collection & Organization
• Data Analysis & Interpretation
• Data Visualization
• Data Reporting & Decision-Making

This training course will be carried out through the use of best practices and the right combination of engaging and purposeful tools such as:

• Practical, relevant case studies
• Group activities and workshops
• Related role plays
• Experiential learning
• Brain storming
• Stimulating mental activities
• Engaging team competitions
• Suitable training Videos
• Presentations
• Self–assessments
• Learning with Simulations and Games

• Business Analysts
• Marketing Professionals
• Data Analysts
• Operations Managers