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Why Take This Nanodegree Program?

We built this program with an expert team of working Blockchain Developers, to ensure a hands-on learning experience that prioritizes job readiness. This is the most comprehensive curriculum available for learning the fundamental skills, tooling, mindset, and security best practices that are essential to becoming a Blockchain Developer.

Blockchain demand is booming and the market is expected to grow at over 60% per year.

Why should you choose us?

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Built by Working Blockchain Developers

Advance your skills with curriculum developed by professionals working in the field, and featuring top industry experts including Balaji Srinivasan, David Jonston and Aaron Brown
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Consistent and Supportive Feedback

Advance your skills with curriculum developed by professionals working in the field, and featuring top industry experts including Balaji Srinivasan, David Jonston and Aaron Brown
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Strategic Learning

Advance your skills with curriculum developed by professionals working in the field, and featuring top industry experts including Balaji Srinivasan, David Jonston and Aaron Brown
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Experts-in-Residence

Advance your skills with curriculum developed by professionals working in the field, and featuring top industry experts including Balaji Srinivasan, David Jonston and Aaron Brown

Advance your Career

This program was built in collaboration with blockchain developers to ensure you learn the right skills necessary to succeed.

Hiring Partners

Blockchain Developers are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.

Succeed with Recruiters

Blockchain Developers are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.

Build a Great Network

Blockchain Developers are in high demand. Create your professional portfolio with Udacity and open up a world of opportunities. Our hiring partners are eager to meet you.

Course Curriculum

Machine Learning with Python
Applications of Machine Learning 00:00:00
Why Machine Learning is the Future 00:00:00
Supervised vs. Unsupervised Learning, and Train/Test 00:00:00
K-Means Clustering 00:00:00
Measuring Entropy 00:00:00
Install GraphVizEnsemble LearningSupport Vector Machines
More Data Mining and Machine Learning Techniques 00:00:00
Using KNN to predict a rating for a movie 00:00:00
Dimensionality Reduction; Principal Component Analysis 00:00:00
PCA Example with the Iris data set 00:00:00
Data Warehousing Overview: ETL and ELT 00:00:00
Apache Spark: Machine Learning on Big Data
Spark Introduction 00:00:00
Introducing MLLib 00:00:00
K-Means Clustering in Spark 00:00:00
Using the Spark 2.0 DataFrame API for MLLib 00:00:00
Machine learning for Spam detection
Machine Learning: Why should you jump on the bandwagon? 00:00:00
Plunging In – Machine Learning Approaches to Spam Detection 00:00:00
Spam Detection with Machine Learning Continued 00:00:00
Natural Language Processing and Python
Applying ML to Natural Language Processing 00:00:00
Natural Language Processing with NLTK 00:00:00
Natural Language Processing with NLTK – See it in action 00:00:00
Python Drill : Autosummarize News Articles 00:00:00
Document Distance using TF-IDF 00:00:00
Support Vector Regression (SVR)
SVR Intuition 00:00:00
SVR in Python 00:00:00
SVR in R 00:00:00
Ensemble Machine Learning
Ensemble Learning Methods Introduction Bagging Part 00:00:00
Random Forests 00:00:00
Gradient Boosting Machine 00:00:00
Project HR – Human Resources Analytics 00:00:00
Ensemble of ensembles 00:00:00
Building a Machine Learning Web Service
Building a Machine Learning Web Service Concepts 00:00:00
Building a Machine Learning Web Service Code 00:00:00
Practical Machine Learning
Hyperparameters and Cross-Validation 00:00:00
Comparison to Deep Learning 00:00:00
Regression with Sci-Kit Learn is Easy 00:00:00
Random Forest Regression
Random Forest Regression Intuition 00:00:00
How to get the dataset 00:00:00
Random Forest Regression in Python 00:00:00
Random Forest Regression in R 00:00:00

Pricing

FAQ

Why should I enroll?

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.

What jobs will this program prepare me for?

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.

How do I know if this program is right for me?

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.

Do I need to apply? What are the admission criteria?

No. This Nanodegree program accepts all applicants regardless of experience and specific background.

What are the prerequisites for enrollment?

The Data Scientist Nanodegree program is designed for students with programming and data analysis experience. 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:

  • Python programming, including common data analysis libraries (NumPy, Pandas, Matplotlib).
  • SQL programming
  • Statistics (Descriptive and Inferential)
  • Calculus
  • Linear Algebra
  • Experience wrangling and visualizing data
How much does the program cost?

The full program consists of two terms, the first term is three-months long and the second term is four-months long, at a cost of ₹33,500 for Term 1.
The payment is due before the term begins in each instance.

What software and versions will I need in this program?

To successfully complete this Nanodegree program, you’ll need to be able to download and run Python 3.7.

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