Certification in Information Technology  Data Science
Data Visualization

Learn how to develop a Data Dashboard and Visualization techniques using the latest tools and industry best practices

Python Programming

Apply development skills using Python specifically designed for the Data Science . Learn how to use key libraries like NumPy, Scikit, Tensor, Pandas  and more.

SQL Database

Students are taught how to develop and administer SQL databases, run relevant queries, and create stored procedures.

Machine Learning

Learn the fundamentals of Machine Learning, differences between Supervised and Unsupervised learning algorithms, classification modules, data visualization etc.

Data Analysis Techniques

Data analytics encompasses a variety of techniques used in data science to extract meaningful insights from raw data such as predictive, inferential and Perspective.

Capstone Project

This module serves as a practical demonstration of the student's ability to handle the entire data science workflow, from problem formulation to data acquisition, exploration, analysis, modeling, and presentation of results.

About the Qualification

image

The worth of data lies in the hands of those capable of interpreting it. Data science involves the skillful gathering, exploration, and processing of raw data to generate actionable insights for businesses. Data scientists play a crucial role in conducting thorough analyses and presenting valuable solutions to diverse stakeholders. Given their indispensable role in the tech industry, there is a substantial demand for data scientists, resulting in lucrative salaries. If you seek a fulfilling and well-paying career, data science offers both. Those who acquire data science skills can explore various career paths, including roles like Business Analyst or Machine Learning Engineer.

Career Opportunities: 
  • Data Analyst: Analyze data to identify trends and patterns, informing business decisions.
  • Machine Learning Engineer: Develop and implement machine learning algorithms for tasks like prediction and automation.
  • Business Intelligence Analyst: Translate data insights into actionable recommendations for businesses.
  • Data Engineer: Build and manage data pipelines, ensuring data accessibility and quality.
  • Research Analyst: Apply data analysis skills in specific industries like healthcare, finance, or marketing

Recognition of Prior Learning: Not Applicable

Duration: 10 months (Generally completed within 8 months)

Mode of Delivery: Distance Education (with structured Webinars)


Course Curriculum

Introduction into Data Science: This module provides a foundational understanding of the key concepts, tools, and methods used in this dynamic field. It serves as a stepping stone for further exploration and specialization within data science

Python for Data Science: Python is the most widely used language in Data Science. This module covers data structures, functions, and libraries (NumPy, Pandas, Matplotlib, Scikit)

Exploratory Data Analysis (EDA): This module teaches learners about data summarization, descriptive statistics, data visualization and the identification of trends and patterns within the data. The primary goal of EDA is to reveal the underlying structure and relationships within the dataset.

Machine Learning :Introduces students to the foundational concepts and techniques of machine learning. Participants learn the principles behind supervised and unsupervised learning, exploring algorithms for classification, regression, clustering, and dimensionality reduction. The module covers topics such as model evaluation, hyperparameter tuning, and feature engineering, emphasizing practical application through hands-on projects.

pandas
Matplotlib
Anaconda logo
SQL for Data Science: This module delves into the intricacies of SQL, equipping students with the essential skills to manipulate and extract valuable insights from databases. From mastering  fundamental database concepts to advanced query optimization, participants will gain hands-on experience in crafting SQL queries to tackle real-world data challenges. With a focus on practical application and industry relevance, this module not only lays the groundwork for effective data management but also provides a vital toolset for those seeking success in the dynamic field of data science.
Data Visualization - Immerse yourself in our Data Visualization module, a vital component of our Data Science Certification. This course combines Python and Power BI to teach the art of transforming raw data into compelling visual stories. Whether you're a novice or an experienced professional, gain the skills to create impactful visualizations that communicate complex insights effectively. Join us to elevate your data visualization proficiency and unleash the power of compelling narratives in the field of data science.
PowerBI
python-logo-master-v3-TM
Excel
Minimum Entry Requirements: None
Minimum Age: 18 years
Resource Requirements: Learners entering this qualification must have access to a computer with a good internet connection
Smiling teacher using laptop during computer class at high school and looking at camera. Her students are learning in the background.
Course Cost: R25,000
Deposit: R5000
Instalments: R2000 per month for 10 months
Textbooks: Not Included in the fee
Credit Transfer Application Fee: R600 (subject to approval)





pexels-yan-krukau-8199187
To register for this qualification click on the Register menu or the link: https://www.metainstitute.co.za/register

Ensure that you upload all supporting documentation and EFT the deposit using the banking details provided (use your Firstname and Surname as a reference)

Once we receive your registration and proof of payment, you will receive an email confirmation for the course and the relevant handbooks, timetables etc.

Institution Banking Details:
Bank: First National Bank  (FNB)
Account Name: Meta Institute of Technology (Pty) Ltd
Account Number: 63064479728
Branch Code: 250655
Reference: (Your Firstname, Surname)

Please email your proof of payment to: Registration@metainstitute.co.za
For any enquiries please WhatsApp us:  078 832 3074

student-4311723


pexels-michelangelo-buonarroti-8728223
Download

FAQs

  • To which qualification is this certification aligned to?
  • Answer: ICDL (International Computing Drivers License)
  • Do I need a computer and tool set for this qualification?
  • Answer: Yes, you will be required to perform several practical tasks using a variety of different End-User Applications