Analytics in Python

Обучение бесплатное
Сертификация платная
3 месяца
О курсе

Data is the lifeblood of an organization. Competency in programming is an essential skill for successfully extracting information and knowledge from data.

The goal of this course is to introduce learners to the basics of programming in Python and to give a working knowledge of how to use programs to deal with data.

In this course, we will first cover the basics of programming and then focus on using Python on the entire data management process from data acquisition to analysis of data big data and small data.

This is an intensive hands-on course that will equip and reward learners with proficiency in data management skills.

Analytics in Python
Learn the fundamental of programming in Python and develop the ability to analyze data and make data-driven decisions.
Что Вы изучите?
  • Become familiar with working with relational databases, using SQL based languages such as MySql, dealing with formatted data (XML, JSON, etc.)
  • Use Python to work with and analyze data from databases as well as from the web
Hardeep Johar
Hardeep Johar
Lecturer in Discipline Columbia University
Hardeep has a Ph.D. in Information Systems from the Stern School of Business, New York University, is a Fellow of the Indian Institute of Management Calcutta, and has an M.A. in Economics from the Birla Institute of Technology and Science in Pilani, India. Hardeep has had extensive experience in industry. He has worked for many years as a quantitative proprietary trader at Deutsche Bank, Credit Suisse, and Morgan Stanley in New York. He was been on the management team of a startup (Peak Strategy) and an advisory board member of another (mSpoke, Inc.). Prior to joining Columbia, Hardeep has been teaching as an Adjunct Professor at the business schools at NYU, Columbia, and Fordham Universities.
Эта платформа предоставляет все курсы бесплатно. Авторами выступают топовые университеты и корпорации, которые стараются удерживать стандарты качества. За несоблюдение дедлайнов, невыполнение домашнего задания студенты теряют баллы. Как и в других платформах, лекционные видео чередуются с практическими заданиями. Обучение проводится на английском, китайском, испанском, французском и хинди.
Analytics in Python