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  • Growth Analysis with SQL, Python, and Tableau

Online Course top-rated
Growth Analysis with SQL, Python, and Tableau

with Nikola Pulev

Gain first-hand data analyst experience: Use SQL, Python, and Tableau to tackle real-world business challenges

4.9

808 reviews on
Start for Free
1264 students already have enrolled
  • Institute of Analytics
  • The Association of Data Scientists
  • E-Learning Quality Network
  • European Agency for Higher Education and Accreditation
  • Global Association of Online Trainers and Examiners

Skill level:

Advanced

Duration:

4 hours
  • Lessons (7 hours)

CPE credits:

5.5
CPE stands for Continuing Professional Education and represents the mandatory credits a wide range of professionals must earn to maintain their licenses and stay current with regulations and best practices. One CPE credit typically equals 50 minutes of learning. For more details, visit NASBA's official website: www.nasbaregistry.org

Accredited:

certificate

What You Learn

  • Improve your SQL, Python, and Tableau proficiency using real business data.
  • Interpret subscription and transaction data to find growth insights.
  • Create professional, multi-page Tableau dashboards with clean formatting.
  • Use data to spot challenges, analyze trends, and propose improvements.
  • Create a portfolio‑ready project with sophisticated Tableau visualizations.

Topics & tools

tableau dashboardmysql querykey performance indicatorsfunnelcombo chartline chartdata analysisstacked bar chartbar chartwaterfall chartgrowth metricshover tooltipdata visualizationdashboard reportingdata preprocessingtableauSQLpython

Your instructor

Nikola Pulev

Nikola Pulev

Data Scientist | Course Creator at 365 Data Science | University of Cambridge Physics graduate

Track record

Bringing real-world expertise from leading global companies

Company logo 1

Academic background

Bachelor's degree, Natural Sciences, Physics

Cambridge University

Media and recognition

  • Silver Medal, International Physics Olympiad
  • National and international awards in mathematics and physics competitions
Ask Nikola a question
  • Course Overview
  • Accredited certificates
  • Career paths
  • How it works
  • Student reviews
  • Recommended courses

    • Course OVERVIEW

    Description

    CPE Credits: 5.5 Field of Study: Information Technology
    Delivery Method: QAS Self Study
    Every company aims to maximize its market presence. Consequently, growth metrics become a primary focus for analysis and monitoring month over month. In this course, we’ll develop a dashboard for tracking growth data. Utilizing SQL and Python, we'll extract relevant data from 365's database and import it into Tableau to create a professional, multi-page dashboard. Finally, we'll explore insights and findings from the visualizations.

    Prerequisites

    • Any SQL environment (such as SQLite, MySQL Workbench, or an online SQL editor).
    • Tableau Desktop or Tableau Public
    • Python (version 3.8 or later), pandas library, and a code editor or IDE (e.g., Jupyter Notebook, Spyder, or VS Code)

    Advanced preparation

    See more

    Curriculum

    55 lessons 1 exam

    Free preview

    What Does the Course Cover?

    1.1 What Does the Course Cover?

    4 min

    Motivation - Our Story

    1.2 Motivation - Our Story

    5 min

    Introduction to the Project

    2.1 Introduction to the Project

    3 min

    Term Definitions - Visitors, UTMs, Channel of Acquisition

    2.2 Term Definitions - Visitors, UTMs, Channel of Acquisition

    9 min

    Term Definitions - User Types and Funnels

    2.3 Term Definitions - User Types and Funnels

    5 min

    Key Questions and Metrics

    2.4 Key Questions and Metrics

    5 min

    Start for free

    With a background in economics and over five years of experience in project management across private and international organizations—including a European Union project in Sudan—I sought new opportunities after relocating to the UAE. Transitioning into data analytics, I began my journey with the 365 Data Science platform, which provided an outstanding and well-structured learning experience. The platform's practical approach and high-quality courses helped me progress from a beginner to a proficient data analyst.

    Rabab A.

    Rabab A.

    Before 365: Project Coordinator | SOFRECO
    After 365: Freelance Data Analyst

    See all reviews

    96%

    of our students recommend

    365 Data Science.

    As a Data Science student, I feared graduating without the practical skills to succeed. 365 Data Science gave me exactly what I needed—projects, career tracks, and in-depth courses in Python, R, SQL, Excel, Power BI, Tableau, and more. I applied these skills to university projects, built advanced solutions like chatbots, and understood the big picture. The structured learning, real-world applications, and interview preparation boosted my confidence, helping me become the top student in my class and ready for the industry.

    Luis B. D. M.

    Luis B. D. M.

    After 365: Data Science Alumni from NOVA IMS

    See all reviews

    4.9

    Based on 808 reviews

    #1 most reviewed

    AI and data learning platform on Trustpilot.

    365 Data Science was absolutely essential in getting me where I am today. The curriculum gave me a solid foundation in data analysis, data science, machine learning, and deep learning—both theory and practice. The structured approach and hands-on projects made complex topics easy to understand and apply. Earning certificates boosted my confidence and LinkedIn profile, helping me stand out in interviews. That momentum led me to internships and, ultimately, to my current role as an AI Engineer.

    Mohamed Sherif E.

    Mohamed Sherif E.

    Before 365: Data Science Intern
    After 365: AI Engineer at Quality Standards | Information Technology – QSIT

    See all reviews

    9 in 10

    of our graduates landed a new AI & data job

    after enrollment

    ACCREDITED certificates

    Craft a resume and LinkedIn profile you’re proud of—featuring certificates recognized by leading global institutions.

    Earn CPE-accredited credentials that showcase your dedication, growth, and essential skills—the qualities employers value most.

    Learn More
    • Institute of Analytics
    • The Association of Data Scientists
    • E-Learning Quality Network
    • European Agency for Higher Education and Accreditation
    • Global Association of Online Trainers and Examiners
    Learn More

    Certificates are included with the Self-Study learning plan.

    A LinkedIn profile mockup on a mobile screen showing Parker Maxwell, a Certified Data Analyst, with credentials from 365 Data Science listed under Licenses & Certification. A 365 Data Science Certificate of Achievement awarded to Parker Maxwell for completing the Data Analyst career track, featuring accreditation badges and a gold “Verified Certificate” seal.

    How it WORKS

    • Lessons
    • Exercises
    • Projects
    • Practice Exams
    • AI Mock Interviews

    Lessons

    Learn through short, simple lessons—no prior experience in AI or data science needed.

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    Exercises

    Reinforce your learning with mini recaps, hands-on coding, flashcards, fill-in-the-blank activities, and other engaging exercises.

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    Projects

    Tackle real-world AI and data science projects—just like those faced by industry professionals every day.

    Try for free

    Practice Exams

    Track your progress and solidify your knowledge with regular practice exams.

    Try for free

    AI Mock Interviews

    Prep for interviews with real-world tasks, popular questions, and real-time feedback.

    Try for free

    Student REVIEWS

    A collage of student testimonials from 365 Data Science learners, featuring profile photos, names, job titles, and quotes or video play icons, showcasing diverse backgrounds and successful career transitions into AI and data science roles.
    Join for free