Data Scientist

Online Course

Udacity
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Data Scientist
  1. What is the course about?
  2. Prerequisites & Facts
  3. Cost, Certificate & Degree
  4. Reviews & Experiences

What is the course about?

Data Scientist
The course Data Scientist is an online class provided by Udacity. It may be possible to receive a verified certification or use the course to prepare for a degree.

Gain real-world data science experience with projects designed by industry experts. Build your portfolio and advance your data science career.

Course description
  • Data Scientist
  • 4 Months (10 hrs/week)
  • 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.
    If you already have experience with machine learning, take this program.
  • Learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.
  • We recommend students are familiar with machine learning concepts, like those in the Intro to Machine Learning Nanodegree Program. In addition, students should be familiar with Python programming, probability, and statistics. See detailed requirements.
  • Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
  • Develop 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 solutions to the cloud.
  • Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems.
  • Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist.
  • The Intro to Machine Learning is the ideal way to prepare for this program.
  • The Intro to Machine Learning is the ideal way to prepare for this program.
  • Solving Data Science Problems
  • Learn the data science process, including how to build effective data visualizations, and how to communicate with various stakeholders.
  • Write a Data Science Blog Post
  • Software Engineering for Data Scientists
  • Develop software engineering skills that are essential for data scientists, such as creating unit tests and building classes.
  • Data Engineering for Data Scientists
  • Learn to work with data through the entire data science process, from running pipelines, transforming data, building models, and deploying solutions to the cloud.
  • Build Disaster Response Pipelines with Figure Eight
  • Experiment Design and Recommendations
  • Learn to design experiments and analyze A/B test results. Explore approaches for building recommendation systems.
  • Design a Recommendation Engine with IBM
  • Data Science Projects
  • Leverage what you’ve learned throughout the program to build your own open-ended Data Science project. This project will serve as a demonstration of your valuable abilities as a Data Scientist.
  • Data Science Capstone Project
  • We recommend students are familiar with machine learning concepts, like those in the Intro to Machine Learning Nanodegree Program. In addition, students should be familiar with Python programming, probability, and statistics.
  • The data science field is expected to continue growing rapidly over the next several years, and there’s huge demand for data scientists across industries. Data scientist is consistently rated as a top career.
  • Udacity has collaborated with industry leaders to offer a world-class learning experience so you can advance your data science career. You’ll get hands-on experience running data pipelines, designing experiments, building recommendation systems, and more. You’ll have personalized support as you master in-demand skills that qualify you for high-value jobs in the data science field.
  • By the end of the program, you’ll have an impressive portfolio of real-world projects, and valuable hands-on experience. You’ll also receive career support via profile and portfolios reviews to help make sure you’re ready to establish a successful data science career, and land a job you love.
  • Obtaining the skills required to be a Data Scientist will make you extremely valuable across many industries, and in many roles. Data Scientists work as Analysts, Statisticians, Engineers, and more. Some become Data and Analytics Managers, while others specialize as Database Administrators. As a graduate of this program, you’ll be prepared to seek out roles that run the gamut from generalist to specialist, and all points in between.
  • This program offers an ideal path for experienced programmers and data analysts to advance their data science careers. If you’re interested in deepening your expertise in the fields of analytics, machine learning, data engineering, and/or data science, this is a great way to get hands on practice with a variety of techniques and learn to build end to end data science solutions.
  • What is the difference between the Data Analyst, Machine Learning Engineer, and the Data Scientist Nanodegree programs?
  • The Data Analyst program is designed for people with some data analysis experience and little-to-no programming experience. Students will learn to analyze data using Python and SQL, to wrangle and clean messy data, to use applied statistics to test hypotheses, and to create data visualizations. Graduates of this program will be prepared for data analyst positions.
  • The Data Scientist Nanodegree program is designed for students with strong programming and data analysis skills, as it is the next step for graduates of the Data Analyst Nanodegree program. Students will learn to build machine learning models, run data pipelines, design experiments and recommendation engines, communicate effectively, and to deploy data applications. Graduates of this program will be prepared for data scientist positions.
  • The Machine Learning Engineer Nanodegree program prepares students for machine learning engineering careers. As both data scientist and machine learning jobs require machine learning knowledge, each of these two programs begins with a focus on machine learning. The curriculum diverges in later sections as you begin to focus on more job-specific tools, skills, and techniques.
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Prerequisites & Facts

Data Scientist

Course Topic

Marketing, Pinterest Marketing, Social Media Marketing

University, College, Institution

Udacity

Course Skill Level

see course summary

Course Language

English

Place of class

Online, self-paced (see curriculum for more information)

Degree

Certificate

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Degree & Cost

Data Scientist

To obtain a verified certificate from Udacity you have to finish this course or the latest version of it, if there is a new edition. The class may be free of charge, but there could be some cost to receive a verified certificate (399 USD) or to access the learning materials. The specifics of the course may have been changed, please consult the provider to get the latest quotes and news.
Udacity
Data Scientist
provided by Udacity
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Reviews

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School: Udacity
Topic: Computer Science, Data Scientist

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