Python for Data Science
In this program, you will master the ability to analyze and visualize data in meaningful ways using python to help solve complex business problems. Working with tools such as Jupyter Notebooks, NumPy, and Pandas, you will have the opportunity to analyze real-world datasets to identify patterns and relationships in data. Certificate of completion is provided by Thinklogix at the end of the course.
Data science is one of today’s most in-demand functions and Python is an essential skill in any data scientist’s toolbox. In this program, you will master the ability to analyze and visualize data in meaningful ways using python to help solve complex business problems. Working with tools such as Jupyter Notebooks, NumPy, and Pandas, you will have the opportunity to analyze real-world datasets to identify patterns and relationships in data.
You will gain experience using both built-in and custom-built data types to create expressive and computationally robust data science projects. You will also learn about the Python language, dynamic typing, and using an IDE with Python.
Upon course/certification completion, students will be mentored by ThinkLogix instructors and management in their future job search and career growth.
Price: CA$ 1,950
Course Stream: Data Science
Delivery method: Live instructors through online platforms
Prerequisites: STEM background
Flexi pay: Option to pay in installments
Paid internships available for students who successfully pass the course.
- Upcoming start date: October 15, 2022
- Course duration: 20 hours
- Lecture duration: 1 Month
- Students will receive ThinkLogix Certification upon course completion
- Students will receive Data Science Stream Certification upon completion of (i) Python for Data Science, and (ii) Data Science and Machine Learning Techniques
Ajitpal is a professional with over 10 years of experience working in data analysis and strategic management. Currently, he works as TimeLabs’s Data Analyst, and work towards building and improving products and services for our customers by using advanced analytics, ad-hoc analysis, consulting, creating data models and workflows, and onboarding compelling new data sets.
His previous experience includes a position as a Sr. Data Analyst at Tara Health Foods, where he worked with marketing, finance and logistics departments to analyze data for their logistics and retail network to look for the bottlenecks in the supply chain, production cycle planning, supplier network, discounting, marketing penetration analysis and financial analysis.