Intro to Data Analytics
"Intro to Data Analytics and Data Science" is a comprehensive 16-week, part-time program designed to equip you with the knowledge and skills necessary to become a proficient junior data analyst. Throughout the course, you'll gain expertise in data analytics tools such as Excel, Power BI, SQL, Python, and ChatGPT AI for data analysis, ensuring data quality, and crafting engaging data visualizations. Moreover, the course has a dedicated section for statistics in order to deepen your understanding about utilizing data for decision making. The curriculum also emphasizes professional development and job readiness, incorporating resume development and effective interview strategies. Upon completing the course, you'll possess a strong understanding of the data analytics process, along with the ability to address real-world data challenges using ChatGPT AI.
What you’ll learn
The "Intro to Data Analytics" course equips learners with data analysis expertise using prominent tools such as Excel, Power BI, SQL, Python, Statistics, and ChatGPT AI. The curriculum encompasses data visualization, professional development strategies, SQL and Python programming for data analysis, utilizing ChatGPT AI for enhancing analytics, and practical guidance on crafting compelling resumes and succeeding in job interviews. Upon completion, participants will be prepared to tackle real-world data challenges, either by pursuing a data analytics career or by enhancing their current roles with data skills.
Course Objectives
Course Prerequisites
What does this course look like?
This course comprises 2-3 hour classroom sessions, hands-on practice with Excel, Power BI, SQL, Python, Statistics, and ChatGPT AI, interactive quizzes and exercises to reinforce learning, and a final project that demonstrates mastery of the skills acquired. The objective is to provide a thorough understanding of data analytics and its application in real-world problem-solving, including leveraging ChatGPT AI, whether you're embarking on a career in the field or enhancing your current role with data skills.
Who is it for?
The "Intro to Data Analytics" course is tailored for a diverse audience, including beginners, professionals, career changers, and those with an interest in data analysis. The course offers an extensive introduction to data analysis and the tools employed by industry professionals, such as ChatGPT AI, enabling them to:
- Enhance their current roles with valuable data analysis skills and increase their marketability.
- Gain the necessary foundation for a successful career transition to the field of data analytics.
- Access the course regardless of skill level and background.
- Achieve their goals by actively applying the lessons learned, including the use of ChatGPT AI.
- Obtain an edge over the competition by having a deeper understanding of statistical analysis.
How much does this course cost?
Course Syllabus
- Focus on Excel as a crucial tool for data analysis
- Learn the importance and practical uses of Excel
- Explore workbook creation
- Understand common Excel functions
- Study conditional aggregation
- Discover pivot tables and charts
- Examine slicers and time slicers
- Build a strong foundation for the remainder of the course
- Learn to apply conditional formatting in Excel
- Discover how to import data effectively
- Understand the process of adding to data models
- Master pivoting using multiple tables
- Gain expertise in Excel's PowerQuery and PowerPivot
- Dive into Data Analysis Expressions (DAX)
- Explore creating measures and KPIs
- Perform what-if analysis in Excel
- Get acquainted with the data analysis tool package
- Participate in cohort quizzes, assignments, and exercises to reinforce learning
- Understand the anatomy of an SQL query
- Learn about Common Table Expressions in SQL
- Explore generating data and creating a Date Dimension
- Dive into random data generation and sampling techniques
- Grasp train/test split implementation with SQL
- Test your knowledge with a Basic SQL for Data Analysis quiz
- Delve into describing a series in descriptive statistics
- Discover how to describe a categorical series
- Assess your understanding with a Descriptive Statistics quiz
- Master the concept of grouping in SQL
- Learn about conditional aggregates and subtotals
- Evaluate your understanding with a Grouping and Subtotals quiz
- Discover aggregate expressions in SQL
- Understand window frames and their application
- Explore accessing next and previous rows in SQL
- Dive into SQL ranking functions
- Test your knowledge with a Running and Cumulative Aggregation quiz
- Learn to compare missing values in Interpolation
- Explore back filling and forward filling techniques
- Understand linear interpolation
- Test your knowledge with an Interpolation quiz
- Discover the concept of binning in data analysis
- Learn about equal-height binning
- Dive into equal-width binning
- Assess your understanding with a Binning quiz
View the full program syllabus, click for access!
Cohort Schedule
Cohort Time Schedule
Cohort Schedule
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Python is easy to learn and great for back-end coding. The popularity of Python as a programming language is on the upsurge, thanks to its readability and ability to do more with less coding. If you are looking for a course that offers Python web development for beginners, look no further. Our online course allows you to learn full stack web development with Python at your own pace from the comfort of your home.
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No, a basic level of computer literacy and a motivation to learn is all you need for most of our courses.
Our courses are designed for diverse backgrounds; If programming or tech is a career track that you really want to pursue, you may sign-up for our courses whether you are software engineer, product/program manager, analyst, researcher, consultant, student, etc.
It can vary depending on your unique background. However, it usually takes 18 hours/week outside of the classroom for homework and study time.
Yes, you will be given a certificate of completion for any course, after you pass the final exam.
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