What you will learn in Introduction to Artificial Intelligence (AI) Course
- Gain hands-on experience with tools like spreadsheets, SQL, and R to manipulate and analyze data effectively.
- Learn data cleaning techniques to ensure accuracy and reliability in decision-making.
- Explore exploratory data analysis methods to uncover trends, patterns, and insights.
- Develop data visualization skills using Tableau and ggplot2 to present findings clearly.
- Work on real-world case studies to gain practical problem-solving experience.
- Complete a capstone project, applying data analytics skills to a full-scale project.
Program Overview
Foundations of Data Analytics
⏱️ 4-6 weeks
- Introduction to the data life cycle and its role in decision-making.
- Learn problem-solving and critical thinking skills for analytics.
- Understand data analytics applications across industries.
- Get familiar with tools like spreadsheets, SQL, and visualization software.
Data Cleaning and Preparation
⏱️6-8 weeks
- Learn data structures and databases for efficient data storage.
- Use spreadsheets and SQL to clean and manipulate data.
- Identify common data errors and apply cleaning techniques.
- Ensure data accuracy and consistency for reliable analysis.
Data Analysis with Spreadsheets, SQL, and R
⏱️8-12 weeks
- Perform calculations, filtering, and pivot tables in spreadsheets.
- Write SQL queries to retrieve and manipulate data.
- Use R programming for statistical analysis and visualization.
- Develop data-driven business recommendations.
Data Visualization and Storytelling
⏱️10-12 weeks
- Create visual dashboards using Tableau and spreadsheets.
- Translate complex data into clear insights for stakeholders.
- Develop engaging data narratives to support decision-making.
- Apply best practices for designing effective visuals.
Google Data Analytics Capstone Project
⏱️12-15 weeks
- Work with a dataset to clean, analyze, and visualize insights.
- Present findings using dashboards, reports, and storytelling techniques.
- Apply problem-solving skills to real-world business challenges.
- Earn your Google Data Analytics Professional Certificate upon completion.
Get certificate
Job Outlook
- Projected 25% job growth for data analysts by 2030 (U.S. Bureau of Labor Statistics).
- High demand across industries like finance, healthcare, tech, and e-commerce.
- Entry-level salaries range from $60K – $85K, with experienced analysts earning $90K – $120K+.
- Employers seek expertise in SQL, Python, R, data visualization, and machine learning.
- Certification improves visibility on LinkedIn and job platforms.
- Strong foundation for careers in data analytics, machine learning, and AI.
- High job security and growth potential with trends in big data, cloud computing, and AI adoption.
Specification: Introduction to Artificial Intelligence (AI)
|
