Data Science
Welcome to the dynamic and transformative world of data science! This course serves as your gateway to a realm where data isn’t just information; it’s the key to unlocking insights, making informed decisions, and driving innovation.
As you embark on this learning journey, embrace the curiosity to explore, the tenacity to solve problems, and the creativity to derive meaningful insights from raw data. In the fast-evolving landscape of data science, adaptability and continuous learning are key. May this course be the catalyst for your success in harnessing the power of data to make a meaningful impact in your professional journey. Happy learning!
WHAT YOU WILL LEARN
Foundational Understanding
- Gain a solid foundation in data science, understanding its role in decision-making processes.
- Grasp fundamental statistical concepts and their application in data analysis.
Database Management
- Acquire proficiency in working with relational databases, focusing on SQL for querying and manipulating data.
Programming with Python
- Explore the fundamentals of Python programming language.
- Develop expertise in using Pandas and NumPy libraries for data manipulation and analysis.
Data Exploration and Analysis
- Develop skills in exploratory data analysis (EDA) to extract meaningful insights from datasets.
- Learn techniques for cleaning and preprocessing data using both Excel and Python.
Visualization and Presentation
- Master data visualization tools such as PowerBI for creating interactive dashboards.
- Learn effective data storytelling and presentation techniques to convey insights to diverse audiences.
Machine Learning and Model Building
- Understand the principles of machine learning and explore both supervised and unsupervised learning techniques.
- Gain hands-on experience in building, evaluating, and selecting machine learning models for data modeling.
$120,931
Average Salary for Data Scientist
26.9%
Growth Rate for Data Scientist
Course Duration
6 Months
Course Price
₦150,000
$300
Learning Mode
Physical/Virtual
Benefits
Quality on a budget
Diverse tech course portfolio
Verified diploma certificates
Peer connectivity through student groups
Industry relevant curriculum
Continuous career support
Internship and job placement assistance
Testimonials
"Embarking on the Data Science course was a career-defining decision. The comprehensive curriculum, spanning statistical analysis, machine learning, and big data technologies, provided me with a robust skill set. The hands-on projects and real-world applications allowed me to master the practical aspects of data science. Under the guidance of experienced instructors, I gained valuable insights into industry best practices and the latest trends. This course has been instrumental in preparing me for the dynamic and evolving field of data science. I highly recommend it to anyone seeking to make an impact in the world of data-driven insights."
Course Curriculum
– Introduction to Data Science
– Importance of Data in Decision Making
– Basics of Statistics and Probability
– Exploratory Data Analysis (EDA)
– Descriptive Statistics
– Data Visualization Techniques
– Basics of Excel for Data Analysis
– Data Cleaning and Preprocessing in Excel
– Advanced Excel Functions for Data Analysis
– Introduction to Relational Databases
– SQL Fundamentals
– Querying and Manipulating Data in SQL
– Introduction to PowerBI
– Creating Interactive Dashboards
– Data Storytelling and Presentation Techniques
– Introduction to Python for Data Science
– Basics of Pandas Library
– Essential NumPy Concepts
– Data Cleaning Techniques in Python
– Advanced Data Analysis with Pandas
– Handling Missing Data in Python
– Introduction to Machine Learning
– Supervised and Unsupervised Learning
– Model Evaluation and Selection
– Data Visualization with Matplotlib and Seaborn
– Interactive Visualizations with Plotly
– Customizing and Styling Plots in Python
– Creating a Data Science Portfolio
– Showcasing Projects and Case Studies
– Tips for Networking and Job Applications
