1st class free
Jennifer profile and their contact details have been verified by our experts
Jennifer
- Rate ₹6,363
- Response 24h
-
Students21
Number of students accompanied by Jennifer since their arrival at Superprof
Number of students accompanied by Jennifer since their arrival at Superprof
₹6,363/hr
Contact
1st class free
- Python
Professional Marine Scientist teaching Python one-to-one online. Dive into the sea of code, I'll have you swimming instead of drowning in no time.
- Python
Class location
Recommended
Jennifer is a respected tutor in our community. She is highly recommended for her commitment and the quality of her lessons. An excellent choice to progress with confidence.
About Jennifer
I work as a marine data specialist analysing fish stocks and fish catch for fisheries to work towards becoming sustainable. I use python day to day and have a real passion for how amazing a tool Python can be. I've been on several professional training courses and have specialised in machine learning. I've then brought that knowledge back to my company and taught over 20 other staff members Python.
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About the class
- Classes 1 to 5
- Classes 6 to 8
- Class 10
- +14
levels :
Classes 1 to 5
Classes 6 to 8
Class 10
Classes 11 & 12
Class 12
BTech
Adult Literacy
Undergraduate
Masters
PG Diploma
PhD
MBA
Beginner
Intermediate
Advanced
Professional
Children
- English
All languages in which the class is available :
English
There are 10 sessions that I run each only takes 30-60 minutes. You can start at the beginning if you are a complete beginner or you can pick and choose the sessions you want. We can run them separately or block out a few hours at a time. Here is what I offer: Session1: Intro into what Python is Different platforms you can use How to assign values Different value types Session2: Lists For loop While loop Session 3: If and else conditions Session4: Handling different packages- how to find them and understand them. Session5: Dictionaries- what they are how they store data, how to access the data Session6: Data frames- what they are how they store data, how to access the data, the pros and cons between dictionaries and data frames Session7: Altering data that's already loaded into the dataframe Loading data from an excel sheet Saving data to an excel sheet Session8: Writing your own Functions Session9: Basic graphs (bar charts, box plots, histograms) Basic customisation Session10: Build multiple graphs into one image All my lessons are hands on with you writing code from the start. You follow along with my screen testing each step yourself. We don't rush ahead always go at your pace answering any questions that you have. I have mini tasks for you to complete as you go as well as homework to test yourself after you've had a sleep and see if you can still follow the logic.
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Review
All of our reviews are collected by us and are 100% reliable. They correspond to a real experience lived by the students of Jennifer.
5 (6 reviews)
Perfect! Jennifer is a really wonderful engaged tutor, with good ideas for how to improve. She has a deep understanding of her field, and I'd highly recommend her if you want to learn Data Science.
Perfect! A great first lesson. Jenny took the time to find out about me and my goals. We then did some basic structured learning. Jenny was friendly and professional.
Perfect! Jenni is very patient and
has got bubbly personality. Makes you get excited about PythonPerfect! Went at the perfect pace for me, gave me lots of examples and helped me do the coding on my own screen too. Really friendly and knowledgeable. 5 stars!
Perfect! My daughter love the lesson and grasp the ideas well which jennifer explained .
- Lovely young girl with a great attitude for learning.Jennifer's response :
Perfect! Great speed, makes you feel very comfortable! Looking forward to the rest
- Great student, engages with the material and doesn't hesitate to ask questions.Jennifer's response :
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Rates
Rate
- ₹6,363
Pack prices
- 5h: ₹31,813
- 10h: ₹63,625
online
- ₹6,363/hr
free classes
This first free class with Jennifer will allow you to get to know each other and to specify the exact learning requirements for the upcoming classes.
- 30mins
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