Data Science
Master data collection, visualization, and machine learning using Python and SQL to build a strong data science portfolio.
Duration: 16 weeks
Days: 2-3 times a week
Mode: Online
Outcome: Build a strong data science portfolio
Module 1
Introduction to Data Science & Python
This module provides a foundational understanding of data science, exploring its key concepts, applications, and impact across industries. Learners are introduced to Python, the most popular programming language for data science, covering its basic syntax, libraries (such as NumPy and Pandas), and essential coding practices. By the end of this module, students will have a strong grasp of Python fundamentals and its role in analyzing and manipulating data.
Module 2
Data Collection & Cleaning
Data is only as valuable as its quality, and this module delves into the processes of collecting, preprocessing, and cleaning raw data. Students will learn techniques for gathering data from multiple sources, including APIs, web scraping, and databases, while also addressing common issues such as missing values, inconsistencies, and duplicate records. The focus will be on using Python libraries like Pandas and Numpy to transform messy data into reliable datasets for analysis.
Module 3
Data Visualization & Storytelling
In this module, learners explore the art of data visualization and how to craft compelling narratives from data. Using libraries such as Matplotlib, Seaborn, and Plotly, students will create charts, graphs, and dashboards that effectively communicate insights. Emphasis will be placed on choosing the right visualizations for different types of data and audiences, ensuring that findings are presented in a clear, engaging, and impactful manner.
Module 4
Introduction to Machine Learning
This module introduces the fundamental concepts of machine learning, covering supervised and unsupervised learning techniques. Students will learn about key algorithms, such as regression, classification, and clustering, while implementing them using popular Python libraries like Scikit-learn. Basic concepts of model evaluation, overfitting, and bias-variance tradeoff will also be covered, equipping learners with the skills to build and assess predictive models.
Module 5
Working with Databases and SQL
Understanding how to store, retrieve, and manipulate structured data is crucial for data science. This module focuses on relational databases and SQL, teaching students how to write queries to extract meaningful insights. Topics include database design, joins, indexing, and performance optimization, along with hands-on experience using SQL-based databases like MySQL and PostgreSQL. By the end of this module, learners will be proficient in managing large datasets efficiently.
Module 6
Real-World Projects & Career Development
The final module is designed to bridge the gap between learning and practical application. Students will work on real-world projects, applying their knowledge to solve data-driven problems. Additionally, this module will cover essential career development topics, such as building a strong data science portfolio, networking, and interview preparation. By completing this module, learners will be well-equipped to enter the job market and excel in data science roles.
Success Stories
Meet some of our graduates who have transformed their lives and careers with Ridot Software Academy.
“The Microsoft Office workshop was fantastic, exciting, and highly educative. It’s a program everyone interested in tech should attend.”
Success Story
“The Microsoft Office workshop was fantastic, exciting, and highly educative. It’s a program everyone interested in tech should attend.”
Success Story
“The Microsoft Office workshop was fantastic, exciting, and highly educative. It’s a program everyone interested in tech should attend.”
Success Story
I attended the 4-days Microsoft office workshop, and I must say- It was fantastic, exciting, and educative. I am excited and lucky to have attended the workshop. It was a program one can't afford to miss.
Ganiyu Sofiat
The training waas fantastic, educating and challenging. Thanks for the innovation to involve women in tech. More grease to your elbows.
Mrs Joseph
Real and interesting! Not like those who only say what they can't do. I look forward to an impactful week with Ridot Software Academy.
Funmilola Aremu
Thank you so much Ridot Software Academy for this great opportunity you're giving females, this is once in a time privilege and thanks to our great tutors.
Enitan Badmus
My sales within this short period with Ridot Software Academy has been high. I had new customers and the potential ones are making enquiries.
Precious Adenopo
Thanks for sharing your knowledge with us, before this class started, I was a novice, but now.. when giving thanks, I can't forget our great tutors
Anonymous
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