What will I Learn and Apply post-program: We build your foundation by going through the basics of Mathematics, Statistics and Machine Learning using our foundation training program on Data Science - DS1 Module: In our DS1 Module You will Learn: 1)Descriptive & Inferential Statistics 2)Data Visualization 3)Python Programming 4)Data Distributions - Discrete/Continuous 5)Matrix Algebra, Coordinate geometry & Calculus 6)CRISP-DM Framework 7)Machine Learning - Part 1 8)Python Programming - Adv 9)Simple & Multiple Linear regression with case studies A Data Scientist dons many hats in his/her workplace. Not only are Data Scientists responsible for business analytics, but they are also involved in building data products and software platforms, along with developing visualizations and machine learning algorithms Data Analytics career prospects depend not only on how good are you with programming —equally important is the ability to influence companies to take action. As you work for an organization, you will improve your communication skills. A Data Analyst interprets data and turns it into information that can offer ways to improve a business, thus affecting business decisions. Data Analysts gather information from various sources and interpret patterns and trends – as such a Data Analyst job description should highlight the analytical nature of the role. Key skills for a data analyst
A high level of mathematical ability.
Programming languages, such as SQL, Oracle, and Python.
The ability to analyze, model and interpret data.
A methodical and logical approach.
The ability to plan work and meet deadlines.
Accuracy and attention to detail.