Data Scientist Expert Master’s Program
- Offered bySnapLogic
Data Scientist Expert Master’s Program at SnapLogic Overview
Duration | 11 months |
Total fee | ₹56,700 |
Mode of learning | Online |
Official Website | Go to Website |
Credential | Certificate |
Data Scientist Expert Master’s Program at SnapLogic Highlights
- Earn a certificate after completion of course from SnapLogic
- Discount is available on fees
- Classes are taken by industry experts
- Career guidance or assistance
Data Scientist Expert Master’s Program at SnapLogic Course details
Individuals seeking to start a career in data science and develop a strong foundational knowledge of the field
Professionals already in data analysis roles who want to advance their skills and transition into data science positions
Understand the foundational concepts of data science, including the data science workflow, types of data, and the importance of data-driven decision-making
Explore statistical methods for data analysis, including hypothesis testing, regression analysis, and experimental design
Learn effective data visualization techniques using tools like Tableau, Matplotlib, and Seaborn to communicate findings clearly and effectively
Data Scientists Expert Master’s Program by GoLogica focuses on big data and analytics
This program provides detailed information on data science tools, technologies, and concepts
It is best for individuals who are in senior-level positions in the data science field
This course includes comprehensive knowledge about big data and analytic
It includes modules on machine learning, advanced predictive modeling, and data visualization techniques
Data Scientist Expert Master’s Program at SnapLogic Curriculum
Tableau
Introduction and Overview
Get Started
Analysis
Getting Started with Calculated Fields
Formatting
Building Interactive Dashboard
AI and Deep learning
Introduction to Statistics
Python Programming
ML - PYTHON TOOLS & LIBRARIES
INTRODUCTION TO MACHINE LEARNING
HOW MACHINE LEARNING WORKS
Machine Learning
Introductory Topics
Linear Regression and Feature Selection
Linear Classification
Support Vector Machines and Artificial Neural Networks
Bayesian Learning and Decision Trees
Evaluation Measures
Hypothesis Testing
Data Science with Python
Python Basics
Python Data Structures
Python Programming Fundamentals
Working with Data in Python
Applied Data Science with Python
Python for Data Science
Defining Data Science
Data Processing Phases
Descriptive Statistics Computing Features in Python
Repairing and Normalizing Data
Data Science Capstone
Capstone Project: All Learners
Capstone Project: IDV Learners