At the end of this course, the participants should be able to:
- Understand the fundamentals of data analytics and its applications in business.
- Use Google tools (such as Google Analytics, Google Sheets, Google Data Studio) to collect, process, and analyze data.
- Interpret data insights to inform decision-making and drive business outcomes.
- Develop and present data-driven reports and dashboards using Google’s suite of analytics tools.
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.
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