[UDACITY] Become a Data Scientist V1.0.0

[UDACITY] Become a Data Scientist V1.0.0
[UDACITY] Become a Data Scientist V1.0.0 Free Download. Gain real-world data science experience with projects designed by industry experts. Build your portfolio and advance your data science career.

[UDACITY] Become a Data Scientist V1.0.0 Description

You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.

Prerequisites and Requirements

The Data Scientist Nanodegree program is an advanced program designed to prepare students for Data Scientist jobs. As such, students should have a high comfort level with a variety of topics before starting the program. In order to successfully complete this program, you should meet the following prerequisites: Machine Learning
  • Supervised and Unsupervised methods equivalent to those taught in the Intro to Machine Learning Nanodegree Program.
  • 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 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
HTMX + Flask: Modern Python Web Apps, Hold the JavaScript Free Download

[UDACITY] Become a Data Scientist V1.0.0 Free Download



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Hau Van Vo
Hau Van Vo

Hello everyone, my name is Hau Vu, my nickname is Hau Van Vo. I created this blog to share with everyone the courses on different platforms My motto is "No pain, no gain"

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