Brief Introduction
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 asCourse Summary
This Data Scientist Nanodegree program is designed to prepare you for a career in data science. Learn data analysis, machine learning, and data engineering through hands-on projects.Key Learning Points
- Hands-on projects to build practical skills
- Learn from industry experts and experienced mentors
- Career support and guidance to land a job in data science
Related Topics for further study
Learning Outcomes
- Master data analysis using Python and SQL
- Build and evaluate machine learning models
- Design and implement data pipelines
Prerequisites or good to have knowledge before taking this course
- Proficient in Python and SQL
- Experience with statistics and linear algebra
Course Difficulty Level
IntermediateCourse Format
- Online
- Self-paced
Similar Courses
- Applied Data Science with Python
- Data Science Essentials
- Data Analysis with Python
Related Education Paths
Related Books
Description
Build effective machine learning models, run data pipelines, build recommendation systems, and deploy solutions to the cloud with industry-aligned projects.Knowledge
- 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.
Outline
- 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. Learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.
Summary of User Reviews
The Data Scientist Nanodegree program from Udacity has received positive reviews from students. The program covers a wide range of topics and provides hands-on experience working with real-world data. Many users appreciated the flexibility of the program, allowing them to work at their own pace and balance their studies with other commitments.Key Aspect Users Liked About This Course
The program covers a wide range of topics and provides hands-on experience working with real-world data.Pros from User Reviews
- Flexible schedule allows students to work at their own pace
- Instructors are knowledgeable and responsive to student needs
- Real-world projects provide practical experience
- Career services and job placement assistance available
- Course content is up-to-date and relevant to industry standards
Cons from User Reviews
- Price may be too high for some students
- Some coursework may be challenging without prior experience
- Limited interaction with other students
- No in-person meetings or networking opportunities
- Some technical issues with the online platform
Python Programming for Beginners in Data Science
- 4.4
-
![]()
![]()
![]()
![]()
![]()
This Python for beginners course teaches you "just enough" python training online with Python 3 for Data Science Data Science, Machine Learning, Deep Learning & AI are hot areas right now....
Learning PySpark
- 3.5
-
![]()
![]()
![]()
![]()
![]()
Building and deploying data-intensive applications at scale using Python and Apache Spark Apache Spark is an open-source distributed engine for querying and processing data....
Probability: Basic Concepts & Discrete Random Variables
- 0.0
-
![]()
![]()
![]()
![]()
![]()
Learn fundamental concepts of mathematical probability to prepare for a career in the growing field of information and data science. Or want better to understand statistical theory and mathematical modeling?...
Advanced Tableau for Business Intelligence
- 4.8
-
![]()
![]()
![]()
![]()
![]()
Build expert-level Tableau skills with real-world business intelligence & data visualization projects (Tableau 2020. 2+) See why Maven Analytics courses are among the TOP-RATED the BEST-SELLING analytics courses on Udemy:...
