Data Analytics Course Professional

Professional Data Analytics Online Course

Start your analytics career from $149 with a professional certification. Learn to transform raw data into actionable business insights using industry-standard tools in just 4-8 weeks.

4.8 · 1,240 students enrolled
4–8 weeks Duration
Self-Paced Format
Certificate Included
Professional Level
From $149 Tuition

Career-ready skills, mapped to real hiring outcomes.

  • Write complex SQL queries to extract and aggregate data from relational databases
  • Create interactive dashboards using Tableau or Power BI to communicate insights to stakeholders
  • Perform exploratory data analysis using Python pandas and matplotlib libraries
  • Calculate and interpret statistical measures including correlation, regression, and hypothesis testing
  • Build predictive models using machine learning techniques for business forecasting
  • Design data pipelines and automate reporting workflows to reduce manual effort

5 modules · structured, self-paced.

Module 01 Module 1: Data Fundamentals & SQL Essentials 8 lessons · 4h
  • Data types and structures
  • SQL SELECT, WHERE, and JOIN operations
  • Aggregation and GROUP BY functions
  • Database design basics
Module 02 Module 2: Data Exploration & Visualization 7 lessons · 3.5h
  • Descriptive statistics and distributions
  • Creating charts and graphs
  • Dashboard fundamentals with Power BI
  • Best practices for visual communication
Module 03 Module 3: Python for Data Analysis 9 lessons · 5h
  • Python pandas for data manipulation
  • Data cleaning and handling missing values
  • Advanced filtering and transformation
  • Working with dates and categorical data
Module 04 Module 4: Statistical Analysis & Hypothesis Testing 6 lessons · 3.5h
  • Probability distributions and sampling
  • Hypothesis testing and p-values
  • Correlation and linear regression
  • A/B testing and experimental design
Module 05 Module 5: Advanced Analytics & Business Applications 8 lessons · 4.5h
  • Predictive modeling with machine learning
  • Customer segmentation analysis
  • Time series forecasting
  • Presenting findings to non-technical audiences

Built for these professionals.

  • 01 Career changers with 2+ years professional experience looking to break into analytics within 8 weeks and land entry-level Data Analyst roles.
  • 02 Business professionals in finance, marketing, or operations who need to build analytical skills to advance to senior or management positions.
  • 03 Recent graduates or career returners seeking a structured, job-focused program with a professional certification to improve hiring prospects.
  • 04 Self-taught analysts wanting to formalize their skills and gain hands-on experience with industry-standard tools like SQL, Python, and Tableau.

Taught by working data professionals.

Sarah Chen, Data Analytics Instructor at Cape Mui USA
Sarah Chen
Data Analytics & BI Instructor
Google Data Analytics Certificate · Tableau Desktop Specialist · Microsoft PL-300 Power BI

"Data literacy is the most valuable skill of the next decade. I make it approachable for everyone, from executives to career changers."

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FAQ

Common questions about this program.

Do I need prior programming or statistics experience to succeed?
No. This course starts from fundamentals and requires only basic computer literacy. Each module builds progressively, and you'll learn Python and SQL from scratch. Sarah Chen's teaching approach makes complex concepts accessible to professionals new to analytics.
Will I be job-ready as a Data Analyst after completing this course?
Yes. You'll graduate with a professional certification, portfolio-ready projects, and practical skills employers seek. Many students secure Data Analyst roles within 2-3 months of completion. The course emphasizes real-world business scenarios you'll encounter on the job.
What tools and software do I need, and are they free?
You'll use SQL (via free databases), Python (free open-source), and Power BI or Tableau. While Power BI has a free version, we provide trial licenses for premium tools during the course. Total software cost is zero if you use free alternatives.
Can I balance this 4-8 week course while working full-time?
Yes. The course is fully self-paced with video lessons typically 15-25 minutes each. Most students complete 5-8 hours of coursework per week, fitting it into evenings and weekends. You set your own timeline within the 8-week window.
Get Started Today

Ready to start your
data analytics career?

Enroll now for $149 and get lifetime access to video lessons, quizzes, and your professional data analytics certification.