The Epic Python Developer Certification Bundle

4 Reviews
1271 Enrolled
12 Courses & 91 Hours
$39.99$180.00
You save 77%

What's Included

Complete Data Science Training with Python for Data Analysis
  • Experience level required: Intermediate
  • Access 116 lectures & 12 hours of content 24/7
  • Length of time users can access this course: Lifetime

Course Curriculum

116 Lessons (12h)

  • Your First Program

  • Introduction to the Data Science in Python Bootcamp

  • Introduction to Python Pre-Requisites for Data Science

  • Introduction to Numpy

  • Introduction to Pandas

  • Data Pre-Processing/Wrangling

  • Introduction to Data Visualization

  • Basic Statistical Data Analysis

  • Statistical Inference & Relationship Between Variables

  • Machine Learning for Data Science

  • Unsupervised Learning

  • Supervised Learning

  • Artificial Neural Networks (ANN) and Deep Learning

Complete Data Science Training with Python for Data Analysis

MS
Minerva SinghMinerva Singh | Bestselling Instructor & Data Scientist
4.3/5 Instructor Rating: ★ ★ ★ ★

Minerva Singh is a Ph.D. graduate from Cambridge University where she specialized in Tropical Ecology. She is also a Data Scientist on the side. As a part of her research, she has to carry out extensive data analysis, including spatial data analysis using tools like R, QGIS, and Python. Minerva also holds an MPhil degree in Geography and Environment from Oxford University.

Description

In this easy-to-understand, hands-on course, you'll learn the most valuable Python Data Science basics and techniques. You'll discover how to implement these methods using real data obtained from different sources and get familiar with packages like Numpy, Pandas, Matplotlib, and more. You'll even understand deep concepts like statistical modeling in Python's Statsmodels package and the difference between statistics and machine learning.

1,229 positive ratings from 6,976 students enrolled

  • Access 116 lectures & 12 hours of content 24/7
  • Get a full introduction to Python Data Science & Anaconda
  • Cover basic analysis tools like Numpy Arrays, Operations, Arithmetic, Equation-solving, Matrices, Vectors, & Broadcasting
  • Explore data structures & reading in Pandas, including CSV, Excel, JSON, and HTML data
  • Pre-process & wrangle your Python data by removing NAs/No data, handling conditional data, grouping by attributes, etc.
  • Create data visualizations like histograms, boxplots, scatterplots, barplots, pie/line charts, & more
  • Discover how to create artificial neural networks & deep learning structures

"It is just what you need to learn when starting with data science" – Sagar Farkale

Specs

Important Details

  • Length of time users can access this course: lifetime
  • Access options: web & mobile streaming
  • Certification of completion included
  • Redemption deadline: redeem your code within 30 days of purchase
  • Updates included
  • Experience level required: intermediate
  • Have questions on how digital purchases work? Learn more here

Requirements

  • Prior knowledge of Python will be useful but not required
  • Basic computer skills

Terms

  • Unredeemed licenses can be returned for store credit within 30 days of purchase. Once your license is redeemed, all sales are final.
4 Reviews
5/ 5
All reviews are from verified purchasers collected after purchase.
CS

CHRISTOS SEITANIDIS

Verified Buyer

Yes, it's epic as a developer bundle for Python! It has so much as variety of content and great exposition!

Jul 20, 2021
DE

Dev Elgert

Verified Buyer

I just started the course but the videos are great and informative.. I will update my review when I am close to completing it.

Mar 4, 2021
BG

Brian Goulter

Verified Buyer

From first impressions, this looks good. There is a lot of free training available on Youtube, but it is nice not having to search for the material that suits my learning style.

Feb 10, 2021
Netaji Kakani profile picture

Netaji Kakani

Verified Buyer

I love the breath and depth of this course can’t wait to complete all topics in the course and also instructors have such accomplished backgrounds

Jul 4, 2020
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