Data Science Program

data science program



Data Science Program Overview

The demand for skilled data science practitioners in industry, academia, and the government is rapidly growing. The data science program is a game-changer.

Not only did IBM predict the demand for data scientists would surge by 28% in 2020, but the Bureau of Labor Statistics considers data science in the top 20 fastest-growing occupations and has projected 31% growth over the next 10 years. 

Additionally, Garner projects worldwide IT spending will increase from $3.9 trillion in 2020 to $4 trillion in 2021. Data from the recruiting firm Robert Half shows that 69% of IT managers in the first half of 2020 intended to grow their teams in areas like cybersecurity, cloud computing, business intelligence, database management, and DevOps, but 86% had a challenging time finding talented professionals.

So let expect data science to top the upcoming 230 million jobs in Africa by 2030 due to digitization.

 

What Should Be Expectations From Data Science Program

The Skill Up’s Data Program is designed to introduce the skill fellow to the practical and important aspect of Data Analytics from the beginning to the advanced knowledge. This program is led by industry experts and leaders working in top companies like Google, Microsoft, Facebook e.t.c, the course uses a project-based learning model to provide hands-on experience with the latest data concepts and tools.

By the end of the course, professionals will be confident in analysis, working with databases, and creating visualizations.

Data Science Program

Week 1
Data Fundamentals

Learn the fundamental methods of collecting, accessing, and storing data, including effective use of relational databases and query languages such as SQL.

Week 2
Data Visualisation

You will learn the best practices of data visualization, and how to highlight findings with engaging visualizations using tools like Power BI.

Week 3
Data Dashboard

You will also learn to integrate these tools into your workflow, and design dashboards for business use to make data-driven decisions and present recommendations effectively.

Week 4 - Week 5
Data Analysis

Using Python programming and relevant packages, you will learn to analyze data sets with statistical methods, and run tests to gain data-driven insights from your analysis.

Week 6 - Week 7
Statistical Modeling

You will gain exposure to a number of modeling techniques that can be used across a wide range of data-types, from financial data to eCommerce.

Week 7 - Week 8
Machine Learning Techniques

Supervised Learning, Unsupervised Learning: Gain exposure to cutting-edge applications of data science, including neural networks, deep learning, and advanced machine learning methods.

Week 8 - Week 9
Machine Learning Techniques

Supervised Learning, Unsupervised Learning: Gain exposure to cutting-edge applications of data science, including neural networks, deep learning, and advanced machine learning methods.

Week 10
Q&A

Question and Answers session with data science professionals working in top companies in the world and in Africa like Google, Facebook, Microsoft, NASA, Apple e.t.c

Week 11 - Week 12
Project(s)

Data science Skill Up fellow will undergo one or more projects that allows them solve community-based problems using the skills learnt above.

Week 13 - Week 16
JobAcquire

JobAcquire is a 4-weeks dedicated job search program that uses YIEE job search strategies that lands job seekers' one or more jobs at the end of the program.

Mode Of

Virtual Learning

Join and collaborate with other students in virtual classes.

Problem-Solving Approach

Work on real-life projects by applying what you learn to solve related business and community problems.

Video Content

High-quality easy-to-comprehend video lessons. Curated by industrial professionals or Africans.