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Data Scientist Expert Master’s Program 

  • Offered bySnapLogic

Data Scientist Expert Master’s Program
 at 
SnapLogic 
Overview

It is designed to provide students with the advanced skills and knowledge necessary to excel in the rapidly evolving field of data science

Duration

11 months

Total fee

56,700

Mode of learning

Online

Official Website

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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
Read more
Details Icon

Data Scientist Expert Master’s Program
 at 
SnapLogic 
Course details

Skills you will learn
Who should do this course?

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

What are the course deliverables?

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

More about this course

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

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Data Scientist Expert Master’s Program
 at 
SnapLogic 

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