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Data Science in Python

4.9 (24 ratings)
|
Taken by 105 students

Data science is in high demand across technology, healthcare, and business. Your child can start now by learning programming and statistics, building visualizations, and answering questions. In their final project, they choose a topic to analyze and visualize.

LIMITED SPOTS: 24 INSTRUCTORS LEFT!
Private 1:1
Format
Age 12-18
Learners
Weekly
Classes
50 minutes
Per class
Data Science in Python

About this Course

Data Science is more than just statistics and spreadsheets, it's about forming a convincing and accurate story using data. That's why our Data Science course doesn't just teach the fundamentals of collecting and cleaning datasets, but also practical ways to visualize data to tell a story. With a personalized Juni Instructor, students will explore real world datasets in healthcare, aerospace, sports, and more to create their own Exploratory Data Analysis (EDA) report.

LIMITED SPOTS: 24 INSTRUCTORS LEFT!

Billed as

$250 / month

4 classes / month × $62.50 / class
First class free!
  • First class free!
  • Cancel anytime

1:1 classes are 50 minutes long and can be scheduled anytime Monday-Sunday from 7am to 7pm PT. To begin, select Try a Free Class to signup. Our team will then match you and set up your first class!

  • Course duration
    3-6 months
  • Lesson
    50 minutes
  1. I know what the pyplot module is, and how to use it in Python.

  2. I know how to create line plots using pyplot in Python.

  3. I know how to create bar plots using pyplot in Python.

  4. I know how to communicate the meaning of the data I analyze.

  1. I know what the pandas module is, and how to use it in Python.

  2. I understand how to obtain data files using pandas in Python, and turn them into DataFrames.

  3. I understand how to view DataFrames using pandas in Python.

  4. I understand how to modify DataFrames using pandas in Python.

  5. I know how to use the summary functions built into pandas in Python.

  6. I know how to filter DataFrames in Python.

  7. I understand what an API is.

  8. I understand how to work with an API in Python by turning it into a DataFrame.

  1. I know what the Seaborn module is, and how to use it in Python.

  2. I know what quantitative data is, and the appropriate plots to use when visualizing it.

  3. I know what a distribution is, and how to plot one using Seaborn in Python.

  4. I know what a relationship is, and how to plot one using Seaborn in Python.

  5. I know how to customize my plots using Seaborn in Python.

  1. I understand and can use vocabulary related to statistics.

  2. I know what a normal distribution is.

  3. I understand how to interpret a correlation coefficient, and how to estimate it.

  4. I know what skew is and how to interpret it.

  5. I know what standard deviation is and how to interpret it.

  1. I understand why cleaning data is often necessary.

  2. I know how to drop null values in Python.

  3. I know how to determine the data type of the content of my DataFrame in Python.

  4. I know how to deal with dates in my DataFrames in Python.

  5. I know how to combine multiple DataFrames in Python.

  1. I know what categorical data is, and the appropriate plots to use when visualizing it.

  2. I can create plots to visualize categorical data in Python.

  1. I know what Exploratory Data Analysis is, and why it is important.

  2. I know the five steps that go into Exploratory Data Analysis.

Instructors will assign students roughly 60 minutes of project related homework at the end of each session. Homework is designed to complement the class experience and ensure the student continues to gain practical experience outside of the session.

Completion of Python Level 2 or equivalent

Who are Juni’s Instructors?

Our instructors are subject matter experts from top US universities. Instructors are highly-vetted and background checked prior to joining and undergo extensive training before ever teaching on our platform.

Upon signing up, parents are asked a series of questions that allow us to match your child with an optimal instructor based on their unique needs and interests. Factors that are considered in our matching process include Learning Style, Personality, Personal Experience, and Academic & Career Aspiration.

Headshot for Puja D
Puja D
I really like bringing a strong energy to my classes, and sharing excitement with my students about learning new topics.

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Real reviews from real parents

4.9 out of 5(24 ratings)
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My son loves learning new things and is delighted to have the opportunity to think about his future by attending Juni class
Sunny S
Jan 6, 2022
My son loves learning new things and is delighted to have the opportunity to think about his future by attending Juni class.

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