# Mathematics for Emerging Pathways Unlike the popular belief, mathematics is greatly invigorating and tirelessly comprehensible. If you intend to have a career in any STEM field, but you are afraid of the numbers and are intimidated by strange looking symbols, then this course will be the perfect start point for you. The course is suitable for learners with intermediate or A-levels qualification who intend to have a career in the emerging technologies such as data science, machine learning and artificial intelligence. This course will also be extremely useful for those who already know the computation procedures but lack the deep insight of the mathematical concepts. Dr Awais Trainer I have a PhD in electrical engineering and my primary area of research is in control systems, optimization, robotics and Artificial Intelligence. 4 Courses 7 Days Free Trial » Demo Urdu Demo English

 Languages Available: |English | Urdu| No. of Courses : 04 Rating : waiting Reviews : waiting Students Enrolled : waiting

Mathematics for Emerging Pathways is intended to provide the learners with the essential basis for becoming data, machine learning and artificial intelligence experts. Unlike many other online courses on data science and machine learning that focus on the use of some software tools or existing algorithms, this course is designed to emphasize that Whether you like it or not, data science should always be about the science (not data), and following that thread, mathematical tools and techniques become indispensable.

## What you will learn

We will learn the fundamental mathematics concepts that undercut the advanced technologies such as robotics, data science, artificial intelligence etc. Specifically, we will learn:

• ### li{text-align:left; padding:0px 10px;}Linear Algebra – Matrix theory and its real world applications

1. Linear systems
2. Vectors and vector spaces
3. Linear transformations
4. Composition of transformation
5. Eigenvalues and Eigenvectors
• ### Probability – as a tool for decision making under uncertain circumstances

1. Basic notions
2. Joint, Conditional, marginal probability, posterior probability
3. Discrete probability distributions
4. Continuous probability distributions
• ### Statistics

1. Descriptive statistics
2. Inferential Statistics

### Calculus and Optimization

1. Single variable derivative
2. Partial derivative

## What skills you will gain

1. Develop mathematical model of linear systems
2. Solving system of linear equations and understanding its geometry
3. Geometry of linear equations
1. Application of mathematics to real world problems
2. Analytical and computation skills in the topics covered
1. Understand the mathematics and geometry of optimization
2. Ability to use descriptive and inferential statistics for decision making for different types of underlying distributions

### Earning Potentials

The global business value derived from data related technologies such as analytics, machine learning and Artificial Intelligence (AI) is projected to reach over around \$50 trillion by 2030. This course will enable you to join the club of highest earners in your respective fields.
• ### Course Delivery Mode

The training will be delivered online via our alnafi.com portal, which is designed to cater 50 Million Nafi members. The portal has all the key features like:
• Watching and tracking videos
• Progress monitoring,
• Attempting quizzes,
• Submitting assignments,
• Asking questions from the teachers and mentors