Academy
IKWorx IT Academy
Duration
6 Months / 12 Months
Format
Full Time
Intake
July
Language
English
Why Data Science?
More and more companies are coming to realize the importance of data science, AI, and machine learning. Regardless of industry or size, organizations that wish to remain competitive in the age of big data need to efficiently develop and implement data science capabilities or risk being left behind.
Learn New Techniques
Latest algorithms, cloud solutions, open source tools & data science technologies
Improve Your Skills
Set you up for success in the digital age
Solve Real-World Problems
Deliver project-based deliverables and apply your knowledge
Who Should Take This Course?
- Newcomers to the field of data science
- Professionals who need to rapidly upskill and enhance their data science toolkit
- Professionals working in marketing, sales, finance, and operations who want to learn how to use data and programming to increase efficiencies and identify new opportunities for their organization
Pre-Requisite
- Newcomers to the field of data science — all are welcome
- Computer Literacy — comfortable using a computer and navigating software
- This course is technical in nature. It is recommended that you have a basic understanding of mathematics and statistics. Basic knowledge of at least one programming language would be beneficial and is recommended but is not required.
Our Teaching Philosophy
We believe in the importance of the facilitators' role, the support of the group, and the power of real-time interaction to inspire creative learning.
Group Support
Real-Time Interaction
Creative Learning
Our Methodology
Live Virtual Class
E-Learning (self-paced)
Face to Face Training
Real-Time Chat
Live Webinars
Case Studies
Curriculum Overview
This course will provide students with the knowledge, skills and experience to get a job as a Data Scientist — which requires a mix of programming and statistical understanding. The course will teach students to gather data, visualize data, apply statistical analysis to answer questions and make their insights and information as actionable as possible. We cover the fundamentals of the Data Scientist toolkit as well as a broad set of machine learning algorithms.
Course Modules
Data Science Fundamentals
- Explain: Introduction
- Data Storage: Gather
- Data Analysis: Analysis
- Deploy
SQL for Data Science
- Introduction to SQL
- Basic SQL
- Database Management
- Data Manipulation
Python for Data Science
- A. Python Fundamentals — programming basics
- B. Python Data Structures
Visualization
- Principles of Visualization
- Power BI Basics
- Building Dashboards
- Visuals in Power BI
Basics of Regression
- Regression Algorithms
- Classification Algorithms
- Natural Language Processing
Unsupervised Learning
- Clustering
- Exploiting Relationships
Career Opportunities
Data Analyst
Interpret data, generate reports, and provide actionable insights to drive business decisions.
Machine Learning Engineer
Design and deploy machine learning models into production environments.
Data Engineer
Build and maintain data pipelines, ensuring data is accessible, clean, and reliable.
Our Accreditations:
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Microsoft Learning Partner
Cisco Academy
CompTIA Authorised
MICTSETA Registered
Ready to become a data scientist?
Enrol now and gain the skills that top employers are looking for.
Apply Now →