Google Data Analytics Professional Certificate
February 18, 2025 6:03 pmGoogle Data Analytics Professional Certificate
Online Course
Google Data Analytics Professional Certificate
The Google Data Analytics Professional Certificate is designed to equip you with the essential skills required to start a career in data analytics. Over the course of 6 months, you will gain practical knowledge in data collection, cleaning, analysis, and visualization. You’ll become proficient in using industry-standard tools such as Google Sheets, Google Data Studio, and SQL to organize, process, and analyze data. The program also introduces you to statistical analysis, data storytelling, and decision-making, preparing you for the real-world challenges of data-driven roles. By the end of the course, you’ll be ready to work in various data-centric roles with the confidence to interpret and present data insights effectively.
Data analytics is one of the fastest-growing fields, with businesses across industries relying on data to drive decision-making. From healthcare and finance to technology and retail, every sector needs skilled data analysts. According to recent reports, the demand for data analysts and related roles like data scientists, business analysts, and data engineers is expected to continue rising.
Graduates of this course can pursue roles such as Data Analyst, Business Intelligence Analyst, Data Visualization Specialist, and Market Research Analyst. The skills you acquire can lead to opportunities in diverse industries, offering competitive salaries and long-term career growth. With data becoming an integral part of business strategy, skilled professionals will continue to be in high demand.
Course Fee
₹ 30,000/-
Qualification
Any Degree
Duration
3 Months
Course Type
Certification
Our Recognitions Speaks
Creative Mentors was honored for its excellency in animation education industry
WHAT WE TEACH
Here’s a suggested 6-Month Course Curriculum for the Google Data Analytics Professional Certificate, broken down by modules:
Month 1: Introduction to Data Analytics
- Introduction to data analytics and its importance
- Career paths in data analytics
- Overview of tools and technologies used in the field (e.g., spreadsheets, databases, and visualization tools)
- Introduction to the Google Data Analytics Certificate program structure
- Understanding data types: structured, unstructured, and semi-structured
- Sources of data: primary vs. secondary data
- Data collection methods (surveys, sensors, and APIs)
- Introduction to data privacy and ethics
Month 2: Data Cleaning and Organizing
- The importance of data cleaning and preparation
- Common data quality issues (e.g., duplicates, missing values)
- Techniques for cleaning data (filtering, sorting, removing outliers)
- Using Google Sheets for data cleaning
- Structuring data in spreadsheets
- Introduction to data normalization
- Transforming data for analysis: merging, aggregating, and reshaping data
- Using Google Sheets and Excel for data manipulation
Month 3: Data Visualization Fundamentals
- The role of data visualization in data analysis
- Types of data visualizations (charts, graphs, tables)
- Principles of good data visualization
- Tools for creating visualizations (Google Sheets, Google Data Studio)
- Working with basic charts (line, bar, pie) in Google Sheets
- Customizing visualizations for clarity
- Creating dashboards and reports
- Introduction to Google Data Studio for more advanced visualizations
Month 4: Analyzing Data with SQL and Excel
- Basics of databases and SQL
- Using SQL to query databases: SELECT, WHERE, JOIN
- Aggregation functions and grouping in SQL
- Hands-on practice with SQL queries
- Advanced functions in Excel: VLOOKUP, SUMIF, and pivot tables
- Working with large datasets in Excel
- Analyzing trends and patterns using Excel
- Introduction to Excel data analysis add-ons
Month 5: Advanced Analytics and Introduction to Data Analytics Tools
- Basic statistical concepts: mean, median, standard deviation
- Introduction to hypothesis testing
- Using Google Sheets for basic statistical analysis
- Introduction to more advanced data analysis tools (e.g., R, Python)
- Overview of Google Analytics and its role in data analytics
- Setting up and navigating Google Analytics
- Basic Google Analytics reports and metrics
- Using Google Analytics to make data-driven decisions
Month 6: Final Project and Data-Driven Decision Making
- Drawing actionable insights from data
- Best practices for presenting data to stakeholders
- Telling a story with data visualizations and reports
- Communicating findings clearly and effectively
- Applying all the skills learned in the course to a real-world project
- Data cleaning, visualization, analysis, and decision-making
- Presenting the final project to a mock audience or instructor
- Feedback and certification preparation
This 6-month curriculum is designed to provide hands-on learning opportunities, including weekly assignments and projects to apply data analytics techniques using Google Sheets, SQL, and other industry-standard tools. The final capstone project will give students the opportunity to showcase their skills and demonstrate their ability to analyze and interpret data effectively.
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ADMISSION PROCESS
Creative Mentors Animation, Gaming and VFX School is looking for dedicated students who want to become tomorrow’s art and design leaders. We seek innovators, storytellers, collaborators, problem solvers, dreamers, leaders—all are welcome here.
