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Data Analytics for Beginners
Data Analytics

Data Analytics for Beginners

Introduction to Data Analytics

13 Students Enrolled
Beginner
English
This Course Includes:
  • 42m
  • 14 Lectures
  • Full Lifetime Access
  • Access On Mobile And Tv
  • Certificate On Completion

Overview

What will students learn in your course?
  • Understand the basics of data analytics and how it applies across industries.
  • Learn the differences between data science and data analytics.
  • Explore data types, data collection methods, and storage systems.
  • Discover the four main types of data analytics (Descriptive, Diagnostic, Predictive, Prescriptive).
  • Master the data analytics framework (CRISP-DM) to execute data projects from start to finish.
  • Learn how to create impactful data visualizations and build dashboards for business intelligence.
  • Develop data storytelling skills to effectively present insights to stakeholders.
  • Gain an understanding of data privacy, security, and governance principles.
What are the requirements or prerequisites for taking your course?
  • There are no technical prerequisites for this course; it is designed for beginners. However, to maximize your learning experience, it helps to:
  • Have a curiosity for data and business problem-solving.
  • Be comfortable with basic computer skills (navigating spreadsheets, accessing online tools).
  • Be open to learning theory-based concepts, as this course focuses on understanding frameworks and methodologies rather than hands-on practice.
Who is the course for?
  • Beginners with little to no experience in data analytics.
  • Career Switchers looking to pivot into the data field.
  • Business Professionals who want to leverage data for strategic decision-making.
  • Students and Graduates eager to explore data-related career opportunities.
  • Entrepreneurs and Founders seeking data-driven insights to grow their businesses.
Description

Course Content

  • 8 Sections
  • 14 Lectures
  • 42m Total Length
Section 1
Before Starting the Course

Before Starting the Course

Time 02m
Lectures 1
Section 2
Understanding Data Analytics Fundamentals

Learn the core concepts of data analytics and how it is applied across industries to make data-driven decisions. This module lays the foundation for your journey in data analytics.

Time 17m
Lectures 5
Section 3
Introduction to Data

Gain an understanding of data, its types, and how it forms the backbone of all analytics projects. Learn how data is stored, accessed, and processed.

Time 01m
Lectures 1
Section 4
Data Collection & Storage Systems

Explore how data is collected, stored, and managed across different systems. This module focuses on ETL processes and preparing data for analysis.

Time 01m
Lectures 1
Section 5
Types of Data Analytics & Data Analytics Framework

Learn the four main types of data analytics—descriptive, diagnostic, predictive, and prescriptive—and how to execute data analytics projects using structured frameworks.

Time 02m
Lectures 2
Section 6
Data Visualization & Dashboard Development

Discover how to create impactful data visualizations and build self-serve analytics dashboards to communicate insights effectively.

Time 10m
Lectures 1
Section 7
Data Storytelling

Learn how to combine data, visuals, and narrative to tell compelling stories that influence decision-making. This module focuses on turning insights into action through effective communication.

Time 01m
Lectures 1
Section 8
Data Privacy & Governance

Understand the importance of data privacy and governance, and learn how to manage data ethically while complying with industry regulations.

Time 05m
Lectures 2

About Tutor

Tobe Awo
5.00 (10 Reviews)
Courses 1
Biography

With over a 12 years of combined expertise in data science, AI, analytics, and product management, Tobe is a recognized leader in the data and AI community. She holds a Bachelor’s and Master’s degree in Computer Science, as well as postgraduate qualifications in AI/ML from the University of Texas. Currently, I lead a team of data experts at Google’s YouTube Premium Growth Team, where she develops Data & AI solutions to strategically manage $100M+ in annual marketing investments to optimizes user acquisition & ROI. I am an exceptional communicator, patient instructor, problem-solver, and strategic thinker.

Areas of Expertise for Mentorship, Training or Coaching

✔️ Marketing, Growth, Web and Product Analytics
✔️ Getting Started into Data analytics, Data Science or AI
✔️ Mock Data Science & Analytics Interview Preparation
✔️ Analytics Methods: EDA, Root-cause analysis, Trend Analysis, Correlation Analysis, Regression Analysis, Cohort Analysis, Growth Funnel Analysis, User behavior Analysis, Experimentation
✔️ Marketing Measurements: MMM, Attribution model, Causal Inference, Incrementality
✔️ AI Product Management: AI Product Design & Strategy, Product Strategy, Roadmapping, Feature Prioritization, Agile Methodologies Project Management
✔️ AI Techniques: Machine Learning, NLP, Gen AI and AI ethics.
✔️ Forecasting Techniques: Time series, Exponential Smoothing, Historical Forecasting, Trend Projection, Moving Average
✔️ Data-driven Strategy, Data Storytelling, Creating Executive Analysis Reports & Dashboards, Data pipeline
✔️ SAAS or Subscription Business or Startup

💬 Are you ready to take your career to the next level? Looking to enter data or AI field, deepen your expertise, solve complex business problems, Ace interviews, or fast-track your career path in data & AI? Let's work together to unlock your full potential.

I will provide you the support and guidance you need to succeed in your career.

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