Advanced Analytics Course
in Hyderabad
A course on Google Analytics with a focus on somewhat more complex subjects including custom reports, attribution, and helped conversions
- 74 hours 50 minutes
- 43 Enrolled
- Intermediate
Advanced Analytics Course in Hyderabad
Advanced marketing analytics (AMA) uses data analysis to improve marketing strategies. AMAhelps marketers gain insights into their customers’ behavior. preferences, and other information to create better campaigns. It’s important to note that the Advanced Analytics Course in Hyderabad isn’t just limited to marketing. The term also applies to any data collection or analysis. For example, it can include customer service. sales. finance, and operations.
What you’ll learn
- some more complex Google Analytics ideas, such computed metrics and aided conversions
- The basic operation of attribution and the fact that traffic sources are not the only factor
- What are scopes, and why understanding them is essential
- How events operate and which ones are appropriate to utilize
- Numerous configurable elements, including alarms, channel grouping, dimensions, analytics, and reports
- How to quickly generate reports outside of GA and how regular expressions may save time
- Clicks and sessions are entirely separate measures.
Requirements
- You will need a copy of Adobe XD 2019 or above. A free trial can be downloaded from Adobe.
- No previous design experience is needed.
- No previous Adobe XD skills are needed.
Curriculm
DATA ANALYSIS FOUNDATION
MODULE 1: DATA ANALYSIS FOUNDATION
Data Preparation forAnalysis
Common Data Problems
Various Tools for Data Analysis
Evolution ofAnaMics domain
MODULE 2: CLASSIFICATION OF ANALYTICS
Four tnes oftheAnaMics
DescriptiveAnalytics
DiagnosticsAnalytics
Predictive Analytics
Prescriptive Analytics
Human Input in Various tljpe ofAnaMics
PREDICTIVE ANALYTICS WITH ML
MODULE 1: MACHINE LEARNING INTRODUCTION
What Is ML? ML vs Al
ML Workflow, Popular ML Algorithms
Clustering, Classification And Regression
Supervised Vs Unsupervised
MODULE 2: ML ALGO: LINEAR REGRESSSION
Introduction to Linear Regression
How it works: Regression and Best Fit Line
Hands-on Linear Regression with ML Tool
MODULE 3: ML ALGO: LOGISTIC REGRESSION
Introduction to Logistic Regression
How it works: Classification & Sigmoid Curve
Hands-on Logistics Regression with ML Tool
PYTHON FOUNDATION
MODULE 1: PYTHON BASICS
Introduction of python
Installation of Python and IDE
Python objects
Python basic data types
Number & Booleans, strings
Arithmetic Operators
Comparison Operators
Assignment Operators
Operator's precedence and associativity
MODULE 2: PYTHON CONTROL STATEMENTS
IF Conditional statement
IF-ELSE
NESTED IF
Python Loops basics
WHILE Statement
FOR statements
BREAK and CONTINUE statements
VERSION CONTROL WITH GIT
MODULE 1: GIT INTRODUCTION
Purpose of Version Control
Popular Version control tools
Git Distribution Version Control
Terminologies
Git Workflow
Git Architecture
MODULE 2: GIT REPOSITORY and GitHub
Git Repo Introduction
Git Architecture
Create New Repo with Init command
Copying existing repo
Git user and remote node
Git Status and rebase
Review Repo History
GitHub Cloud Remote Repo
DATA SCIENCE FOUNDATION
MODULE 1: DATA SCIENCE ESSENTIALS
Introduction to Data Science
Data Science Terminologies
Classifications of Analytics
Data Science Project workflow
MODULE 2: DATA ENGINEERING FOUNDATION
Introduction to Data Engineering
Data engineering importance
Ecosystems of data engineering tools
Core concepts of data engineering
DATABASE: SQL AND MONGODB
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
DATABASE Overview
Key concepts of database management
CRUD Operations
Relational Database Management System
RDBMS vs No-SQL (Document DB)
MODULE 2: SQL BASICS
Introduction to Databases
Introduction to SQL
SQL Commands
MY SQL workbench installation
Comments
import and export dataset
DATA ANALYSIS ASSOCIATE
MODULE 1: COMPARISION AND CORRELATION ANALYSISY
Data comparison Introduction
Concept of Correlation
Calculating Correlation with Excel
Comparison vs Correlation
Performing Comparison Analysis on Data
Performing correlation Analysis on Data
Hands-on case study 1 : Comparison Analysis
Hands-on case study 2 Correlation Analysis
MODULE 2: VARIANCE AND FREQUENCY ANALYSIS
Concept of Variability and Variance
Data Preparation for Variance Analysis
Business use cases for Variance and FrequencyAnalysis
Performing Variance and FrequencyAnalysis
Hands-on case study 1 : Variance Analysis
Hands-on case study 2: FrequencyAnalysis
BIG DATA FOUNDATION
MODULE 1: BIG DATA INTRODUCTION
Big Data Overview
Five Vs of Big Data
What is Big Data and Hadoop
Introduction to Hadoop
Components of Hadoop Ecosystem
Big Data Analytics Introduction
MODULE 2: HDFS AND MAP REDUCE
HDFS — Big Data Storage
Distributed Processing with Map Reduce
Mapping and reducing stages concepts
Key Terms: Output Format, Partitioners, Combiners, Shuffle, and Sort
Hands-on Map Reduce task
ADVANCED DATA ANALYTICS
MODULE 1: DATA ANALYTICS FOUNDATION
Business Analytics Overview
Application of Business Analytics
Visual Perspective
Benefits of Business Analytics
Challenges
Classification of Business Analytics
Data Sources
Data Reliabiliti and Validity
Business Analytics Model
MODULE 2: OPTIMIZATION MODELS
Prescriptive Analytics with Low Uncertainti
Mathematical Modeling and Decision Modeling
Break Even Analysis
Product Pricing with Prescriptive Modeling
Building an Optimization Model
Case Study 1 : WonderZon Network Optimization
Assignment 1 : KERC Inc. Optimum Manufacturing Quantity
CERTIFIED Bl ANALYST
MODULE 1: BUSINESS INTELLIGENCE INTRODUCTION
What is Business Intelligence (B1)?
What Bi Is The Core Of Business Decisions?
Bl Evolution
Business Intelligence Vs Business Analytics
Data Driven Decisions With Bi Tools
The Crisp-Dm Methodology
MODULE 2: Bl WTH TABLEAU: INTRODUCTION
The Tableau Interface
Tableau Workbook, Sheets And Dashboards
Filter Shelf, Rows And Columns
Dimensions And Measures
Distributing And Publishing
Instructor
Raghu Gaddam
Digital Marketing
- 3.9
- 8 Reviews
- 44 Students
- 4 Courses
Raghu Gaddam is a digital marketing professional with over 12+ years of experience in the industry. He were worked with leading companies in the e-commerce and technology sectors, developing and executing successful digital marketing strategies. Raghu is known for his practical approach to teaching, combining real-world examples with the latest industry trends. He holds certifications in digital marketing and regularly attends conferences to stay updated on emerging technologies and methodologies.
