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Intermediate Python 

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Intermediate Python
 at 
DataCamp 
Overview

Level up your data science skills by creating visualizations using Matplotlib and manipulating DataFrames with pandas

Duration

4 hours

Total fee

Free

Mode of learning

Online

Schedule type

Self paced

Official Website

Explore Free Course External Link Icon

Credential

Certificate

Intermediate Python
 at 
DataCamp 
Highlights

  • Gain a competitive edge by using random number generators, loops, and Matplotlib
  • Solve a case study using hacker statistics
  • Learn from 87 Exercises & 18 videos
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Intermediate Python
 at 
DataCamp 
Course details

Who should do this course?
  • For any aspiring data science practitioner
More about this course
  • Learn to visualize real data with Matplotlib's functions and get acquainted with data structures such as the dictionary and the pandas DataFrame
  • After covering key concepts such as boolean logic, control flow, and loops in Python, participants will be ready to blend together everything that learned to solve a case study using hacker statistics
  • Learn how to build various types of plots, and customize them to be more visually appealing and interpretable
  • Learn about the dictionary, an alternative to the Python list, and the pandas DataFrame, the de facto standard to work with tabular data in Python
  • Learn about different comparison operators, how to combine them with Boolean operators, and how to use the Boolean outcomes in control structures

Intermediate Python
 at 
DataCamp 
Curriculum

Matplotlib

Basic plots with Matplotlib

Line plot (1)

Line Plot (2): Interpretation

Line plot (3)

Scatter Plot (1)

Scatter plot (2)

Histogram

Build a histogram (1)

Build a histogram (2): bins

Build a histogram (3): compare

Choose the right plot (1)

Choose the right plot (2)

Customization

Labels

Dictionaries & Pandas

Dictionaries, Part 1

Motivation for dictionaries

Create dictionary

Access dictionary

Dictionaries, Part 2

Dictionary Manipulation (1)

Dictionary Manipulation (2)

Logic, Control Flow and Filtering

Comparison Operators

Equality

Greater and less than

Compare arrays

Boolean Operators

Loops

while loop

while: warming up

Basic while loop

Add conditionals

for loop

Loop over a list

Case Study: Hacker Statistics

Random Numbers

Random float

Roll the dice

Determine your next move

The next step

Faculty Icon

Intermediate Python
 at 
DataCamp 
Faculty details

Hugo Bowne-Anderson
Hugo is a data scientist, educator, writer and podcaster at DataCamp. His main interests are promoting data & AI literacy, helping to spread data skills through organizations and society and doing amateur stand up comedy in NYC.

Intermediate Python
 at 
DataCamp 
Entry Requirements

Eligibility criteriaUp Arrow Icon
Conditional OfferUp Arrow Icon
  • Not mentioned

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Intermediate Python
 at 
DataCamp 
Students Ratings & Reviews

4.6/5
Verified Icon8 Ratings
D
Dinesh Kumar Trivedi
Intermediate Python
5
Learning Experience: The course is comprehensive. All the important topics are covered.
Faculty: The facult had good way of explanation, covered the topics nicely . The course includes step by step practice sessions.
Course Support: Helped in a big way .
Reviewed on 29 Oct 2022Read More
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H
Hitesh Vaidya
Intermediate Python
4
Learning Experience: The Platform is great. Got a lots of new things to learn
Faculty: For the completion of certificate, I had taken ACE course from Udemy which helps me a lot Google always update their course curriculum as per the new technologies
Course Support: No till now i didn't get any carrer support
Reviewed on 14 Jun 2022Read More
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N
Nimesh Kudkyal
Intermediate Python
5
Other: The course was in-depth learning experience for me. The instructor knows where beginners face problems. So, He explained accordingly. I recommend this course to everyone.
Reviewed on 24 May 2021Read More
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A
Aneesh Patil
Intermediate Python
4
Other: Extremely interactive learning process.
Reviewed on 4 Dec 2020Read More
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Intermediate Python
 at 
DataCamp 

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