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30-Day Money-Back Guarantee

This course includes:

  • 5.5 hours on-demand video
  • 1 article
  • 30 downloadable resources
  • Full lifetime access
  • Access on mobile and TV
Development Data Science

Practical Data Science

You will gain the necessary practical skills to jump start your career as a Data Scientist!
Rating: 3.8 out of 53.8 (33 ratings)
800 students
Created by Atul Bhardwaj
Last updated 8/2015
English
English [Auto]
30-Day Money-Back Guarantee

What you'll learn

  • Understand the entire Data Science Process
  • Use Python and its Scientific Libraries: Pandas, NumPy, StatsModels and more...
  • Put Theory and Concepts into action through Practical Application
  • Use various Statistical Methods to Extract useful Information from Data
  • Hands on Experience with handling Big Data

Course content

10 sections • 41 lectures • 5h 22m total length

  • Preview05:23
  • The Process
    13:55

  • Python Installation
    08:38
  • Jupyter (formerly iPython) Introduction
    20:15
  • NumPy
    10:38
  • Matplotlib
    06:17
  • Pandas
    11:07

  • Data Types (Part 1) — Identifying Types of Variables
    05:39
  • Data Types (Part 2) — Summarizing Variables Numerically
    05:40
  • Descriptive Statistics (in Python)
    09:16
  • Descriptive Statistics (in Excel)
    05:54
  • Descriptive Statistics (in SAS)
    03:50

  • Preview09:08
  • Analyzing Individual Variable — Probability Mass Functions
    04:50
  • Analyzing Individual Variable — Cumulative Distribution Functions
    18:21
  • Probability Density Functions & Modelling Empirical Distribution
    05:03
  • Smoothing Variable Distribution — Kernel Density Estimation
    09:55
  • Relationship Between Two Variables — Box Plots
    05:07
  • Relationship Between Two Variables — Scatter Plots
    03:41
  • Relationship Between Two Variables — Correlation & Covariance
    06:45
  • Bivariate Relationship Between Categorical Variables
    06:07

  • Exploratory Data Analysis of The Titanic Disaster
    16:46

  • Central Limit Theorem
    06:53
  • Estimation
    02:38
  • Linear Algebra and Matrices — Basics
    07:11
  • Linear Algebra and Matrices — Summary Statistics
    06:00
  • Parametric Statistical Analysis — Linear Response Models
    02:33
  • Linear Regression
    07:39
  • Linear Algebra and Matrices — Ordinary Least Squares
    06:09

  • Multiple Regression (in Excel)
    09:27
  • Linear Regression (in Python)
    05:17
  • Multiple Regression (in Python)
    02:18

  • Getting Started with SQL
    01:28
  • CREATE TABLE Statement — Creating a Table in Database
    04:00
  • SELECT & LIMIT — Selecting Data from Database
    03:17
  • ORDER BY — Sorting Query Output
    03:02
  • GROUP BY — Grouping Output
    03:17

  • Data Integration — Introduction to HDF (Hierarchical Data Format)
    18:32
  • Data Integration — A Practical Example
    19:44
  • Data Integration — A Practical Example (Update)
    00:31

  • Product Promotion (in Python)
    19:54

Requirements

  • Python - IPython Notebook (Download/Installation instructions will be provided)
  • You should have Microsoft Excel

Description

"Junior Level Data Scientist Median Salary from $91,000 and up to $250,000".

As an experienced Data Analyst I understand the job market and the expectations of employers. This data science course is specifically designed with those expectations and requirements in mind. As a result you will be exposed to the most popular data mining tools, and you will be able to leverage my knowledge to jump start (or further advance) your career in Data Science.

You do not need an advanced degree in mathematics to learn what I am about to teach you. Where books and other courses fail, this data science course excels; that is each section of code is broken down through the use of Jupyter and explained in a easy to digest manner. Furthermore, you will get exposed to real data and solve real problems which gives you valuable experience!

Who this course is for:

  • Junior Data Scientist
  • Statistical Analyst
  • Data Analyst
  • This course is suited for individuals who want to advance their career in data science or data analytics

Instructor

Atul Bhardwaj
Data Analyst
Atul Bhardwaj
  • 3.8 Instructor Rating
  • 33 Reviews
  • 800 Students
  • 1 Course

I have an educational background in statistics, data mining and data science. In addition to being a SAS 9 Base certified programmer, I have experience with real world data science projects and research (in the health care sector). Data Science is my passion, and I want to pass my knowledge onto like minded people. Please review my Linkedin Page to learn more about me

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