Data Analytics
Master Data Analytics: Become a Certified Junior Data Analyst in 16 Weeks Ready to transform raw data into powerful business insights? Our comprehensive 16-week, part-time Data Analytics program is specifically designed to equip you with the in-demand knowledge and practical skills needed to become a proficient Junior Data Analyst. Whether you're starting fresh or aiming to advance, this course provides the essential foundation for a thriving career in data.
What you’ll learn
In today's competitive landscape, data analysis expertise is crucial. Our curriculum goes beyond theory, focusing intensively on practical application so you gain the confidence and hands-on experience that employers are actively seeking.
- Hands-On Mastery: Engage in practical exercises and real-world projects from day one, solidifying your understanding.
- Industry-Essential Tools: Gain expertise in the most powerful and widely used data analytics tools:
- Microsoft Excel: Master advanced data manipulation, analysis, and comprehensive reporting.
- Power BI: Create dynamic, compelling dashboards and stunning data visualizations.
- SQL (Structured Query Language): Become proficient in querying, managing, and extracting valuable information from large datasets.
- Python for Data Analysis: Utilize Python's robust libraries for advanced data processing, statistical analysis, and modeling.
- ChatGPT AI: Learn to leverage cutting-edge Artificial Intelligence for enhanced data interpretation, problem-solving, and efficient analytical workflows.
- Deep Statistical Understanding: Develop a strong foundational understanding of statistics for data-driven decision-making, ensuring you can interpret complex data accurately and contribute valuable insights.
- Accelerated Job Readiness: Benefit from dedicated, practical modules on resume development and proven interview strategies, preparing you to confidently navigate the job market and secure your first role as a Junior Data Analyst.
- Expert Instructor: Learn from a seasoned professional with extensive experience in Project Management, manufacturing, and high proficiency in Data Analytics and Data Science.
What You'll Achieve: Your Data Analytics Learning Outcomes
By the end of this transformative Data Analytics course, you will possess the capabilities to:
- Execute Data Analysis: Confidently apply prominent tools like Excel, Power BI, SQL, Python, and ChatGPT AI for in-depth data analysis.
- Ensure Data Quality: Implement strategies to maintain accuracy and reliability in your datasets.
- Craft Engaging Visualizations: Design and create compelling reports and dashboards that effectively communicate data stories to stakeholders.
- Address Real-World Challenges: Utilize your newfound understanding, including leveraging ChatGPT AI, to solve complex data-related problems.
- Enhance Career Prospects: Be prepared to either embark on a new data analytics career or significantly enhance your current role with valuable data skills
Course Objectives
Course Prerequisites
What does this course look like?
This program is structured for immersive and effective learning:
- Interactive Classroom Sessions: Engage in 2-3 hour classroom sessions designed for deep understanding and discussion.
- Hands-On Practice: Extensive practical application with Excel, Power BI, SQL, Python, Statistics, and ChatGPT AI to build real-world proficiency.
- Reinforced Learning: Utilize interactive quizzes and exercises to cement your understanding and reinforce key concepts.
- Capstone Project: Complete a final project that demonstrates your mastery of acquired skills and ability to solve real-world data problems, including leveraging ChatGPT AI.
Who is it for?
The "Data Analytics" program is meticulously tailored for a diverse audience, providing an extensive data analysis and the tools employed by industry professionals.
- Beginners: Perfect for those new to data, providing a comprehensive and accessible entry point.
- Career Changers: Gain the necessary foundation for a successful and sought-after career transition to the field of data analytics.
- Current Professionals: Enhance your existing roles with valuable data analysis skills, significantly increasing your marketability and impact.
- Data Enthusiasts: Access a robust curriculum regardless of your current skill level or background, achieving your goals by actively applying lessons, including the use of ChatGPT AI.
- Competitive Edge Seekers: Obtain a deeper understanding of statistical analysis, giving you a significant advantage in the job market.
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
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Here’s what our instructor has to say
Want to learn full stack web development but don’t know where to start? Consider signing up to learn full stack with Python.
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.
Our Java full stack developer course is designed to kickstart your programming career as a Java full stack developer. We regularly update our Java full stack developer course to make sure it is relevant and useful for our students. If you want to join our full stack JavaScript course, but aren’t sure if you have time to attend the classes, don’t worry. We schedule our classes on weekends and weekday evenings. Even if you work full-time, you can still attend our classes.
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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