Data Science Masters Course
ACADGILD
Key Information
Campus location
USA Online, USA
Languages
English
Study format
Distance learning
Duration
24 weeks
Pace
Full time, Part time
Tuition fees
USD 1,299 / per course
Application deadline
Request Info
Earliest start date
Request Info
Scholarships
Explore scholarship opportunities to help fund your studies
Introduction
- Intensive 6-Month Program
- Collaborative Assignments with Mentors
- Master Statistics, Machine Learning, Deep Learning, and AI
- Learn Tools like Python, TensorFlow, Spark, R, and Tableau
DURATION
24 Weeks
EFFORT
10-15 Hrs/Week
CAREERS
Business Analyst, Data Analyst, Data Architect, Data Administrator, Data Manager, Data Scientist
The course teaches statistics for business analysis, machine learning algorithms, deep learning with TensorFlow, and programming with Python. It will help you explore, analyze, and interpret different kinds of data.
Why You Should Take This Course
Acadgild Experience
What You Will Learn in This Course
- Programming in Python and R
- Python & R basics
- Conditional and loops
- String and list objects
- Functions & OOPs concepts
- Exception handling
- Database programming
*Sessions on R are not live, but self-paced
- Data Wrangling
- Reading CSV, JSON, XML and HTML files using Python
- NumPy & pandas
- Scipy libraries
- Loading, cleaning, transforming, merging, and reshaping data
- Statistics and Probability
- Descriptive statistics
- Inferential statistics
- Hypothesis testing
- Statistical concepts in Python
- Machine Learning Models with Python
- Building models using algorithms
- Linear and logistics regression
- Decision trees
- Support vector machines (SVMs)
- Random forests
- XGBoost
- K nearest neighbor & hierarchical clustering
- Principal component analysis
- Text analytics and time series forecasting
- Deep Learning using TensorFlow
- Introduction to deep learning
- Understanding neural network through TensorFlow
- Convolution & recurrent neural networks
- Data Visualization using Matplotlib and Tableau
- Interactive visualizations with Matplotlib,
- Data visualizations using Tableau
- Tableau dashboard and storyboard
- Tableau and R integration
Sessions on Tableau are not live, but self-paced
- Handling Big Data with Spark
- Introduction to Big Data & Spark
- RDD's in Spark, data frames & Spark SQL
- Spark streaming, MLib & GraphX