Data Analyst Masters Program
- Offered bySnapLogic
Data Analyst Masters Program at SnapLogic Overview
Duration | 11 months |
Total fee | ₹55,440 |
Mode of learning | Online |
Official Website | Go to Website  |
Credential | Certificate |
Data Analyst Masters Program at SnapLogic Highlights
- Earn a certificate after completion of course from SnapLogic
- Discount is available on fees
- Top industry experts take the classes
- Flexible time for classes
Data Analyst Masters Program at SnapLogic Course details
Individuals with degrees in fields such as computer science, statistics, mathematics, economics, or business looking to specialize in data analytics
Managers and decision-makers in various sectors who want to leverage data analytics to enhance operational efficiency and strategic decision-making
Learn how to work using SQL databases, how to create data visualization, statistics & predictive analytics, and Python & R in a business environment
Understand the fundamentals of data analytics, including data types, data collection methods, and the analytics process
The Data Analyst certification course helps you become an expert in Data Analytics with this course, you will learn about the techniques and tools of data analysis
Our data analyst masters program is designed for working professionals, as well as beginners
We provide learning and mentor support to all the students helping them to learn data analytics in detail
Data Analyst Masters Program at SnapLogic Curriculum
Oracle SQL
SQL Overview
SQL Syntax
Data Types
Operators & Expressions
Constraints
SQL Joins
Indexes
Using Views
Transactions
Tableau
Introduction and Overview
Get Started
Analysis
Getting Started with Calculated Fields
Formatting
Building Interactive Dashboard
Data Analyst Master’s Capstone
Learn about capstone basics
Data Collection
Data Wrangling
Exploratory Data Analysis
Data Visualization
Building A Dashboard
Business Analytics with Excel
Introduction to MS Excel
Functions
Using Solver
Data in Excel
Introduction to Variables
Programming Basics and Data Analytics with Python
Basics of Python programming
Python library: Pandas
Data ingestion and wrangling using Python
Data visualisation using Python
Data Analytics with R
Introduction to Data Analytics
Introduction to R Programming
Data Manipulation in R
Data Import Techniques in R
Exploratory Data Analysis
Data Visualization in R
Data Mining Clustering Techniques
R Programming
Introduction to R
R Packages
Sorting DataFrame
Matrices and Vectors
Reading Data from External Files
Generating Plots
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