Python for Data Science
8-16 Hours
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
Thinklogix
393 Arrowsmith Drive, Mississauga
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I took a course - AI in Finance from Thinklogix. I found the course content very well put together to kickstart an AI career in Finance. The course taught us how to approach an AI problem step by step and how to bring meaningful output … More from financial data.
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Recently took an online, instructor-led AWS course. Content was detailed with good coverage of basics and intermediate concepts. Instructor was very knowledgeable.
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Completed an AWS course that was instructor-led during the COVID-19. The course content was resourceful, the instructor was both theoretical and practical.
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I have pursued Python for data science and have recieved excellent guidance from Mr.Ajit Pal.I feel its a great platform to enhance your skills in technological field. In addition to that their mentorship regarding interviews was remarkable! … More
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Took a AWS course that is instructor led and web based during the COVID-19. The course content is great, instructor is knowledgeable.
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Thinklogix is a great learning institute. I took an AI Application in finance course. I believe that this course has increased my knowledge and understanding towards the concepts and methods that are used for financial application. The … More instructor was really good and I would highly recommend Thinklogix to anyone in my network.
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Thinklogix is a great learning center. It is great opportunity to learn about business world. I took an AI Application in finance course. This course covers all key concepts, methods and uses real world business situations and simulation … More which provide the better learning experience and strong base of knowledge.
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I took Data Science course with fundamentals of Machine Learning. Ajit was very good with his knowledge and teaching style. I'm satisfied with the quality of the material and assignments. Keep it up Think Logix. Good Luck, I'm … More sure you will prosper.
Ajitpal Brar
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.
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