Data Science and Analytics
At the core of Business operations is data. Troves of raw information, streaming in and stored in databases and warehouses. Usually, there are much to learn by mining it and advanced capabilities we can build with it. Data science is ultimately about using this data in creative ways to generate business value.
Understanding the techniques of data science helps to solve analytically complex problems through multidisciplinary approach of data inference operations and algorithm development.
Through hands-on and personalize training, students will learn the fundamentals of programming and software development. After completing this course, you will be super comfortable with extracting and mining data for patterns. You will gain deeper understanding of data structure and use different and fitting statistical algorithm to extract information from data. More so, you will be armed with hands-on experience on data visualization frameworks and their applications.
Extract data from different data sources (database, excel etc)
Clean and remove noise from data programmatically and using excel
Manage and query databases in SQL
Understand numpy, scipy and pandas libraries
Apply statistics and probability theories in analyzing data.
- Manipulate complex data structure using numpy and pandas.
- Introduction to visualization with Matplotlib and D3.js
- Design and implement solutions for data science tasks with Python/JavaScript