Udacity – Data Scientist Nanodegree nd025 v1.0.0 2018-12 – Download

Explanation

Get hands-on data science experience with projects designed by industry experts. Build your portfolio and develop your data science skills. You will learn the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn how to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud. Build effective learning models, run data pipelines, build recommendation systems, and deploy cloud solutions with industry-standard projects. In this project, students will select a dataset, identify three questions, and analyze the data to find answers to these questions.

They will create a GitHub repository of their project, and write a blog post to communicate their findings to the appropriate audience. This project will help students strengthen and expand their knowledge of machine learning, data visualization, and communication. Figure Eight (formerly Crowdflower) has completed tagging and interpreting messages to apply artificial intelligence to disaster relief. In this project, students will build a data pipeline to prepare message data for major natural disasters around the world. They will build a machine learning pipeline to classify instant text messages based on the needs of the sender.

What will you learn?

Learn the data science process, including how to build effective databases, and how to communicate with different stakeholders.
Developing software engineering skills that are essential for data scientists, such as creating unit tests and building classes.
Learn to work with data through the entire data science process, from running pipelines, transforming data, building models, and deploying cloud solutions.
Learn how to design experiments and analyze A/B test results. Exploring ways to build recommendation systems.
Use what you’ve learned throughout the program to build your own Open Data Science project. This project will serve to demonstrate your valuable abilities as a Data Scientist.

Who is this course for?

This program provides an ideal pathway for experienced programmers and data analysts to advance their data science skills. If you’re interested in deepening your expertise in the areas of analytics, machine learning, data engineering, and/or data science, this is a great way to get hands-on practice with different techniques and learn to build end-to-end data science solutions.

Specificatoin of the Become a Data Scientist Nanodegree

The Essence of Becoming a Nanodegree Data Scientist

Part 01: Welcome to Nanodegree
Part 02: Observational Learning
Part 03: Deep learning
Section 04: Unprotected Education
Part 05: Congratulations
Unit 06 (Elective): Prerequisites: Python for Data Analysis
Section 07 (Elective): Prerequisites: SQL
Section 08 (Elective): Requirements: Data Visualization
Section 09 (Selected): Requirements: Basic Telephone Line
Part 10 (Selected): Requirements: Git & Github
Section 11 (Elective): Prerequisite: Linear Algebra
Section 12 (Elective): Terms: Performance Statistics
Episode 13: Welcome to Term 2
Unit 14: Introduction to Data Science
Section 15: Software Engineering
Chapter 16: Data Engineering
Section 17: Experimental Design & Recommendations

Requirements

machine learning

Supervised and unsupervised methods equivalent to those taught in the Machine Learning Nanodegree Program.

Python

Python programming including writing functions, building basic applications, and common libraries such as NumPy and Pandas
SQL programming including queries, using joins, joins, and databases.
Comfortable using Terminal and Github

Probability and Statistics

Descriptive Statistics including calculations of center and spread measurements
Inferential statistics including sampling distribution, hypothesis testing

Mathematics

Calculus including superimposition and minimization of algebraic equations
Linear algebra including matrix manipulations and multiplication

Data Integration and Insights

Access data, CSV, and JSON data
Data cleaning and transformations using pandas and Sklearn
Data Plot with matplotlib
Analysis and visualization of survey data and description

Pictures

Become a Data Scientist Nanodegree

Sample Clip

Installation Guide

Click on the Index.html file and follow the links in each section to view the course