Description
Data Scientist Nanodegree nd025 v1.0.0, Data Scientist training course, is published by Udemy Academy. Gain real-world data science experience with projects designed by industry experts. Build your portfolio and advance your data science career. You will learn the skills necessary to become a successful data scientist. You will work on projects designed by industry experts, and learn to implement data pipelines, design experiments, build recommendation systems, and deploy cloud services.
Students choose a data set, identify three questions, and analyze the data to find answers to these questions. They create a GitHub repository with their project and write a blog post to communicate their findings to the appropriate audience. This project helps students to enhance and expand their knowledge about machine learning, data visualization and communication. In the following, you will learn about data engineering for data scientists. These courses include ETL pipelines, natural language pipelines, and machine learning pipelines.
What you will learn
- Learn the data science process, including how to create effective data visualizations, and how to communicate with various stakeholders.
- Develop software engineering skills 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 services.
- Learn how to design experiments and analyze A/B test results. Check out how to build recommender systems.
- Apply what you learn during the program to build your own open source data science project. This project will serve as a demonstration of your valuable abilities as a data scientist.
- Use Python and SQL to access and analyze data from multiple different data sources.
Who is this course suitable for?
- This program provides an ideal pathway for experienced programmers and data analysts to advance their data science careers. If you are interested in deepening your expertise in analytics, machine learning, data engineering, and data science, this is a great way to practice with a variety of techniques and learn to build end-to-end data science solutions.
Course specifications Data Scientist Nanodegree nd025 v1.0.0
Chapters of the Become a Data Scientist Nanodegree course
Part 01: Welcome to the Nanodegree
Part 02: Supervised Learning
Part 03: Deep Learning
Part 04: Unsupervised Learning
Part 05: Congratulations
Part 06 (Elective): Prerequisite: Python for Data Analysis
Part 07 (Elective): Prerequisite: SQL
Part 08 (Elective): Prerequisite: Data Visualization
Part 09 (Elective): Prerequisite: Command Line Essentials
Part 10 (Elective): Prerequisite: Git & Github
Part 11 (Elective): Prerequisite: Linear Algebra
Part 12 (Elective): Prerequisite: Practical Statistics
Part 13: Welcome to Term 2
Part 14: Introduction to Data Science
Part 15: Software Engineering
Part 16: Data Engineering
Part 17: Experimental Design & Recommendations
Course prerequisites
Machine Learning
- Supervised and unsupervised methods equivalent to those taught in the Intro to Machine Learning Nanodegree Program.
Python
- Python Programming including writing functions, building basic applications, and common libraries like NumPy and Pandas
- SQL programming including querying databases, using joins, aggregations, and subqueries.
- Comfortable using the Terminal and Github
Probability and Statistics
- Descriptive Statistics including calculating measures of center and spread
- Inferential Statistics including sampling distributions, hypothesis testing
Mathematics
- Calculus including maximizing and minimizing algebraic equations
- Linear Algebra including matrix manipulation and multiplication
Data Wrangling and Visualization
- Accessing database, CSV, and JSON data
- Data cleaning and transformations using pandas and Sklearn
- Data visualization with matplotlib
- Exploratory and explanatory data analysis and visualization
Pictures
Sample video
Installation guide
In order to view the courses of the course in an organized and regular way, run the index.html file and run the videos through this file.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
7.16 GB
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