Data Science Training
- Develop hard skills in Data Science like Python, R Programming, Statistics, Machine Learning, Artificial Intelligence, Tableau, Deep Learning, Neural Networks, TensorFlow, Unix, Git, SQL.
- The program concludes with a capstone project designed to reinforce the learning by building a real industry product encompassing all the key aspects learned throughout the program.

Overview
Course Objectives
Course Outline
Key Features
What you will learn
Overview
one of the most in-demand careers in computer science, which starts with capturing lots of raw data using data collection techniques, and then building and maintaining data pipelines and data warehouses that efficiently “clean” the data and make it accessible for analysis at scale.
This data infrastructure allows data scientists to efficiently process datasets using data mining and data modeling skills, as well as analyze these outputs with sophisticated techniques like predictive analysis and qualitative analysis. Our Data Science Online Training encompasses a thorough and pragmatic approach towards Statistics, Time Series, Text Mining and an introduction to Deep Learning.
Course Objectives
- This Data Scientist Master’s program covers extensive Data Science training, combining online instructor-led classes and self-paced learning
- Develop hard skills in Data Science like Python, R Programming, Statistics, Machine Learning, Artificial Intelligence, Tableau, Deep Learning, Neural Networks, TensorFlow, Unix, Git, SQL.
- The program concludes with a capstone project designed to reinforce the learning by building a real industry product encompassing all the key aspects learned throughout the program.
- Work on Real Projects, Build a Portfolio, Attend Interviews and Get Hired.
- The skills focused on in this program will help prepare you for the role of a Data Scientist.
Course Outline
- Introduction to Data Science
- Introduction to Python
- Python Basics
- Python Packages
- Importing data
- Manipulating Data
- Statistics Basics
- Machine Learning
- Supervised Learning
- Linear Regression
- Logistics Regression
- Unsupervised Learning
- Exploratory Data Analysis
- Reproducible Research
- Statistical Inference
- Regression Models
- Practical Machine Learning
- Developing Data Products
- Other Machine Learning algorithms
- Data Science with SAS Training Syllabus
Key Features

- 24 hours of instructor-led training
- Course Materials
- Course Completion Certificate
- 100% Money Back Guarantee
- Flexibility to choose classes
- Post training Support
- 24 PDUs
- Self-paced learning content
- 5 real-life Industry wise examples
- Data Science expert certified trainer
- 10% discount on any Online Course
What you will learn
- An overview to Data Science and its implication as well as importance in the real world
- Project Life cycle, and Data Acquisition
- Strong fundamental knowledge of Machine Learning Algorithms
- Conceptual analysis of Prediction and Analysis Segmentation through Clustering
- Integration of R with Hadoop
- Shadow management of experienced Data Scientist
- Introduction and installation of IMPALA
- Real-time Projects on Data Science, Analytics and Recommender Systems
- Work on Data Mining, Data Structures, Data Manipulation.