Data Analytics Fundamentals
Master the core concepts of data analytics including data collection, cleaning, and basic statistical analysis. This comprehensive course is perfect for beginners starting their journey in data analytics and professionals looking to formalize their knowledge.
What You'll Learn
- Fundamental concepts of data analytics and statistics
- Data collection and cleaning techniques
- Exploratory data analysis methods
- Basic statistical analysis and interpretation
- Data visualization best practices
- Real-world case studies and projects
Course Overview
Data Analytics Fundamentals is your gateway to the exciting world of data-driven decision making. This comprehensive 8-week course is designed for beginners with no prior experience in analytics, taking you from basic concepts to practical application.
Throughout the course, you'll learn essential skills that form the foundation of modern data analytics. We start with understanding what data is, how to collect it ethically and efficiently, and the importance of data quality. You'll then progress to cleaning and preparing data for analysis, a critical skill that professionals spend significant time on in real-world scenarios.
The course emphasizes hands-on learning with practical exercises and real-world datasets. You'll work on projects that simulate actual business scenarios, giving you the confidence to apply your skills immediately in professional settings. By the end of the course, you'll have a portfolio of projects demonstrating your analytics capabilities.
Who Should Take This Course
- Professionals looking to transition into data analytics
- Business analysts wanting to formalize their skills
- Students preparing for a career in data science
- Entrepreneurs seeking to make data-driven decisions
- Anyone curious about working with data
Course Curriculum
Week 1-2: Introduction to Data Analytics
- Understanding data and its types
- The analytics process and lifecycle
- Data collection methods
- Ethics in data analytics
Week 3-4: Data Preparation and Cleaning
- Data quality assessment
- Handling missing values
- Data transformation techniques
- Practical cleaning exercises
Week 5-6: Exploratory Data Analysis
- Descriptive statistics
- Data distribution analysis
- Correlation and relationships
- Pattern identification
Week 7-8: Data Visualization and Reporting
- Visualization best practices
- Creating effective charts and graphs
- Dashboard design principles
- Final project presentation
Your Instructor
Dr. Sarah Mitchell
Senior Data Analytics Consultant
Dr. Sarah Mitchell brings over 12 years of experience in data analytics and has trained more than 10,000 professionals worldwide. She holds a PhD in Statistics and has worked with Fortune 500 companies to implement data-driven decision-making processes.
Sarah is passionate about making analytics accessible to everyone and has developed a teaching methodology that breaks down complex concepts into easy-to-understand lessons. Her practical approach ensures that students can immediately apply what they learn in real-world situations.
Student Reviews
This course exceeded my expectations! The content is well-structured and easy to follow. I went from knowing nothing about analytics to confidently analyzing data at my job.
Perfect for beginners! The instructor explains complex topics in a simple way. The hands-on projects were particularly helpful in cementing the concepts.