FTI107 - Data Science Essentials
Build In-Demand Data Science Skills with Python, SQL, and Data Visualization
Course Overview
Start your data science journey with our comprehensive Data Science Essentials Course. Designed for beginners, this hands-on program introduces you to the core tools and techniques used in data science today. You’ll gain practical experience with Python, SQL, and data visualization—skills that enable you to analyze data, extract insights, and support strategic decision-making.
This three-part course is ideal for career starters, career changers, and business professionals looking to harness the power of data in their roles.
Duration: FT: 1 week | PT: 3 weeks
Kick off your training with Python, the most widely used programming language in data science. This module builds your programming foundation by covering scripting basics, algorithms, data structures (like tuples and dictionaries), and essential Python libraries.
You’ll finish with a capstone project where you develop a Python script to analyze a dataset, giving you real-world problem-solving experience.
What You'll Learn:
- Apply fundamental programming concepts to real-world data scenarios
- Demonstrate basic scripting skills using Python
- Use key data structures and functions effectively
- Develop a Python script for data analysis
Duration: FT: 1 week | PT: 3 weeks
Explore the fundamentals of data analysis and visualization. Learn how to work with different data types, use statistical techniques, and leverage powerful Python libraries like pandas, Seaborn, and Matplotlib. This course emphasizes hands-on application through an exploratory data analysis (EDA) project.
What You'll Learn:
- Implement foundational statistics using Python
- Visualize qualitative, quantitative, and multivariate data
- Apply object-oriented programming (OOP) to data workflows
- Perform exploratory data analysis with visual storytelling
Duration: FT: 1 week | PT: 3 weeks
Learn the fundamentals of SQL for data science. Learn how to write queries, join datasets, and apply filtering and ordering techniques. This module also covers concepts in data engineering, database administration, and math for data analysis. Your final project involves building SQL queries within a Python environment to solve a business problem.
What You'll Learn:
- Analyze data using SQL and Python
- Use statistics, probability, and math to interpret data
- Manipulate and explore databases for real-world analysis
- Create dashboards for visual business insights
- Beginner-Friendly: No prior experience required
- Career-Focused: Learn the exact skills hiring managers are looking for
- Flexible Scheduling: Choose a part-time or full-time track
- Hands-On Projects: Apply what you learn with real-world datasets
- Industry-Relevant Tools: Python, SQL, pandas, Matplotlib, Seaborn
Gain the foundational skills needed to enter one of the fastest-growing fields in the world. Enroll in the Data Science Essentials Course today and take the first step toward a data-driven future.
Application
For More Information
Duration
Full-Time: 3 weeks
Part-time: 9 weeks
Commitment
Full-time: 40 hours per week
Part-time: 13 hours per week
Skill Level
Beginner to Intermediate
Delivery
Weekly instruction, feedback, and support
Start Date
First Monday of each month
Led By
Experienced industry instructors
Features
Flexible schedules and small class sizes (5 max)
Value
Flexible, affordable, high-quality education