Data Science: Junior Data Scientist Overview:
This program is designed for individuals aspiring to become data scientists. It covers foundational data science concepts and tools.
In this course, you would learn the fundamentals of data science as well as languages such as Python. You would also be introduced to Machine Learning and validation.
Data Science: Junior Data Scientist Course Outline:
Module 1: Introduction to Data Science
- Introduction to data science and its role in decision-making.
- Python programming fundamentals.
Module 2: Data Wrangling and Cleaning
- Data wrangling techniques using Python, Pandas, and Power Query (Power BI)
- Handling missing data and outliers.
Module 3: Exploratory Data Analysis (EDA)
- Advanced EDA techniques.
- Data visualization using Python and libraries like Seaborn.
Module 4: Introduction to Machine Learning
- Machine learning fundamentals and supervised learning algorithms.
- Model evaluation and validation.
- Gain proficiency in Python for data science.
- Develop the ability to clean, preprocess, and visualize data.
- Understand the basics of machine learning.
I am Deborah Osilade, I am a Data Analyst and an Instructor at Piston and Fusion Business Academy. I love leveraging data to create high-quality data-intelligent solutions. I enjoy working on building Predictive Models, Financial models and designing Dashboards solutions. My specialization and core skills are in Finance, Data Science & Machine Learning. I have a Post Graduate Diploma in Data Science and Business Analysis from the University of Texas at Austin and a B.A. Accounting and Finance degree from Middlesex University. My proficiency with data science tools spans Programming Language for Data Science, Data visualization, and Data management tools.
Data Science: Junior Data Scientist Course Fees & Dates for Upcoming Classroom Classes In 2024
| Classroom | Virtual | |
| Date | 15th Apr – 9th May, 2024 | 15th Apr – 9th May, 2024 |
| Fees | ₦250,000 | ₦250,000 |
| Training Days | Mon & Thurs | Mon & Thurs |
| Training Time | 1pm – 4pm | 8am – 11am |
| Location | 123a Obadina street Lagos | Zoom & Microsoft Teams |
Course FAQ
Related Courses
