Data Analytics for Beginners

Overview

In this 2-week course, you will master the essentials of data analytics. Learn how to collect, clean, analyze, and visualize data using simple tools like Excel or Google Sheets. Perfect for beginners, this course empowers you to make data-driven decisions and present insights effectively.

Learning Outcomes

Upon completing the Data Analytics for Beginners course, students will be able to:

Grasp key data analytics concepts.
Collect, clean, and manage data effectively.
Analyze data using basic statistical techniques.
Visualize data using Excel and Google Sheets.
Make informed, data-driven decisions.

This course equips students with both the foundational knowledge and practical skills needed to excel in data analytics roles across various industries.

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Course Structure

Duration: 2 weeks
Study Time: 1-2 hours per day (equivalent to 14-28 hours total)

Course Modules

The course is structured into two weeks, with each day offering a carefully designed module that builds on the knowledge from the previous day, ensuring a steady and practical learning progression.

Week 1:

Explore data types and sources. Learn data collection techniques.
Clean and prepare data for analysis.
Introduction to Excel: formulas, pivot tables, and basic functions.
Create visualizations: charts, graphs, and more in Excel.

Week 2:

Apply basic statistics: mean, median, standard deviation. Analyze trends.
Final project: Analyze a dataset, create visualizations, and present your insights.
Submit your project and receive feedback.

Assessment

Daily quizzes to reinforce learning.
Final project (50% of grade): Analyze a dataset, create visualizations, and submit a report.

Tools and Software

Excel or Google Sheets
Power BI (optional for dashboard creation)

Jumpstart Your Data Analytics Journey in Two Weeks

With a two-week certificate in Data Analytics for Beginners, students can apply their foundational skills to various entry-level or supporting roles in data-related fields. Some realistic job opportunities include:

Data Entry Clerk: Assist in managing and inputting data into systems, ensuring accuracy and organization.
Junior Data Analyst: Support senior data analysts by collecting, cleaning, and organizing data for analysis.
Administrative Assistant: Use data analytics tools to track and report on office or business performance metrics.
Marketing Assistant: Help analyze marketing data, such as customer behavior or campaign performance, using basic data analysis techniques.
Sales Operations Assistant: Track sales data, create reports, and provide insights into sales trends to support decision-making.
Business Analyst Intern: Assist in analyzing business data to identify trends and opportunities for improvement.
Freelance Data Support: Offer simple data analysis services, such as creating spreadsheets or reports for small businesses.

This certificate provides students with practical data analytics skills that can be applied to entry-level roles or used as a foundation for further learning.