Data scientist is one of the best suited professions to thrive this century. It is digital, programming-oriented, and analytical. Therefore, it comes as no surprise that the demand for data scientists has been surging in the job marketplace. Data science is a multidisciplinary field and It encompasses a wide range of topics such as Mathematics, Statistics, Programming, Data Visualization, Machine Learning and many other fields.  

This skills-based specialization is intended for learners who have a basic python or programming background, and want to apply statistical, machine learning, information visualization, text analysis, and social network analysis techniques through popular python toolkits such as pandas, matplotlib, scikit-learn, nltk, and networkx to gain insight into their data. Some of the contents that will be covered include Introduction to Data Science in Python, Applied Plotting, Charting & Data Representation in Python, Applied Machine Learning and many other interesting ventures. The course is ideal for beginners, as it starts from the fundamentals and gradually builds up your skills

The aim of this course is to provide learners with the necessary tools to analyse and interpret data for daily business decisions using data science techniques.

At the end of the program Learners should be able to:

1. Conduct an inferential statistical analysis
2. Enhance a data analysis with applied machine learning
3. Discern whether a data visualization is good or bad
4. Analyze the connectivity of a social network

1. Statistical analysis, Python programming with NumPy, pandas, matplotlib
2. Competence in pre-processing data
3. Competence in cluster and factor analysis
4. Use of Data Science Tool-Kits

You will need a working computer and Microsoft Excel

Must have competency in using a computer and have knowledge of programming.

Intensive 2-3 weeks of lectures, hands-on practical and tutorials sessions.

Upon successful completion, the candidates will be awarded a certificate in Applied Data Science and a grade appended to the certificate. This qualification will only apply to learners who pass the final exam and complete the assignments or quizzes.

1. Introduction to Python
2. Advanced Statistical Methods In Python
3. Mathematics
4. Deep Learning
5. Software Integration

1. Lecture using virtual classrooms
2. Practical hands-on online tutorials.
3. Assessments using ICT technologies
4. Zoom interactive software

1. Assignment 30%
2. Quizzes 10%
3. Milestone project 60%

Mulungushi University certificate will be provided