Course description

Course Content:

The program consists of several courses that cover different topics related to data analytics. These courses include:

Foundations: Data, Data, Everywhere:

Introduction to data analytics, data types, and data collection.

Ask Questions to Make Data-Driven Decisions:

Exploring data analysis questions, using spreadsheets for analysis, and data visualization.

Prepare Data for Exploration:

Data cleaning, data quality, and using spreadsheets for data preparation.

Process Data from Dirty to Clean:

Transforming data using functions, data validation, and data cleaning techniques.

Analyze Data to Answer Questions:

Introduction to data analysis, using SQL for data analysis, and querying databases.

Share Data Through the Art of Visualization:

Data visualization principles, using tools like Tableau for visualization.

Data Analysis Capstone:

Applying the skills learned throughout the program to complete a real-world data analysis project.

Duration and Format:

The Google Data Analytics Professional Certificate typically takes around 6 months to complete, assuming a commitment of 10 hours per week. The courses are self-paced, allowing you to learn at your own speed.

Skills Gained:

By completing this program, learners can expect to gain skills such as data analysis, data visualization, SQL querying, and working with spreadsheets. These skills are valuable for roles in data analytics and related fields.

Certification:

Upon completing all the courses and the capstone project, you will receive a Google Data Analytics Professional Certificate of completion on Fintter .But you cant get the professional which can be shared on your resume or LinkedIn profile to showcase your skills and knowledge in data analytics.

Prerequisites:

There are no specific prerequisites for this program. It is designed for individuals with varying levels of experience, from beginners to those with some familiarity with data analysis concepts.

For the most up-to-date and detailed information, This will provide you with specific details about enrollment, course content, and any potential updates to the program.

What will i learn?

• Developed Data Analytics Skills:
• You'll gain a strong foundation in data analytics, including data collection, data cleaning, data analysis, data visualization, and data interpretation. These skills are essential for effectively working with data and making informed decisions based on data insights.

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