Advanced Data Analytics Course & Training

Name: Advanced Data Analytics Course {location}
Brand: The Knowledge Academy
Rating: 4.9 (38503 reviews)

Advanced Data Analytics Course {location} Overview

Advanced Data Analytics Certification Course Outline

Domain 1: Data Analytics

Module 1: Introduction to Data Analytics

Data Analytics Overview
Types of Data Analytics

Descriptive Analytics
Diagnostic Analytics
Predictive Analytics
Prescriptive Analytics

Benefits of Data Analytics
Data Visualization for Decision Making
Data Types, Measure of Central Tendency, Measures of Dispersion
Graphical Techniques, Skewness and Kurtosis, Box Plot
Descriptive Stats
Sampling Variation, Central Limit Theorem, Confidence Interval
Optimization Techniques for Data Analytics

Module 2: Introduction to Statistical Analysis

Counting, Probability, and Probability Distributions
Sampling Distributions
Estimation and Hypothesis Testing
Scatter Diagram
ANOVA and Chi-Square
Imputation Techniques
Data Cleaning
Correlation and Regression

Module 3: Data Wrangling with SQL

Introduction to SQL
Database Normalization
Entity-Relationship Model
SQL Operators
Join, Tables, and Variables
SQL Functions
Subqueries
Views and Stored Procedures
User-Defined Functions
SQL Performance and Optimization
Advanced Concepts

Correlated Subquery
Grouping Sets

Module 4: Presto

Introduction to Presto
Writing Queries in Presto on Large Data Sets

Module 5: Feature Engineering

Handling Unstructured Data
Machine Learning Algorithms
Bias Variance Trade-Off
Imbalance Data
Handling Unbalanced Data
Boosting
Model Validation
Hyper Parameter Optimization
Advanced Machine Learning Libraries – Xgboost
Solving Problems on Kaggle

Domain 2: Business Analytics with Excel

Module 6: Introduction to Data Analysis with MS Excel

Steps to Analyse Data
Introduction to Tables

Module 7: Cleaning Data with Text Functions

Removing Unwanted Characters from the Text

Steps for Data Cleaning

Module 8: Sorting and Filtering

What is Sorting and Filtering?
Applying Sorting on Two Columns
Steps to Sort Dates and Columns by Colors
Apply Filtering
Clear Filter
Apply Filter on Text

Module 9: Exploring Lookup Functions

VLookUp Functions in Excel
HLookUp Functions in Excel

Module 10: Introduction to Power Pivot and Formula Auditing

Working with Pivot Tables
How to Use Power Pivot?
Measures
Dimension Tables
Relationships
Advanced Functions
Data Visualization and Analysis
Show Formulas
Trace Precedents
Trace Dependents
Evaluate Formula

Module 11: DAX Variables and Formatting

What is DAX?
Data Types and Operators
DAX Variables
Formatting DAX Code
Debugging Errors in DAX Code
Progressive DAX Syntax and Functions

Module 12: Introduction to Power Map

Create a Power Map
Explore Sample Datasets in Power Map
Visualize Data in Power Map
Create a Custom Map in Power Map

Module 13: Design a Dashboard Using Data Model

Using PowerPoint and Excel
Make a Dashboard in Excel
Customize with Macros, Color, etc.
Make a Dashboard in Smartsheet

Domain 3: Programming Basics and Data Analytics with Python

Module 14: Python for Data Analysis - NumPy

Introduction to NumPy
NumPy Arrays
Aggregations
Computation on Arrays: Broadcasting
Comparison, Boolean Logic and Masks
Fancy Indexing
Sorting Arrays
NumPy’s Structured Arrays

Module 15: Python for Data Analysis – Pandas

Installing Pandas
Pandas Objects
Data Indexing and Selection
Operating on Data in Pandas
Handling Missing Data
Hierarchical Indexing
Concat and Append
Merge and Join
Aggregations and Grouping
Pivot Tables
Vectorized String Operations
Working with Time Series

Module 16: Python for Data Visualization – Matplotlib

Overview
Object-Oriented Interface
Simple Line Plots and Scatter Plots
Visualizing Errors
Contour Plots
Histograms, Binnings, and Density
Customizing Plot Legends
Customizing Color Bars
Multiple Subplots
Text Annotation
Three-Dimensional Plotting

Module 17: Python for Data Visualization – Seaborn

Installing Seaborn and Load Dataset
Plot the Distribution
Regression Analysis
Basic Aesthetic Themes and Styles
Distinguish Between Scatter Plots, Hexbin Plots, and KDE Plots
Use Boxplots and Violin Plots

Domain 4: Tableau Training

Module 18: Get Started

What is Tableau?
Steps in Creating Tableau Data Analysis Report
Navigation
Data Terminology
Design Flow
File Types
Data Types
Show Me

Module 19: Data Sources

Types of Data Sources
Custom Data View
Extracting Data
Fields Operations
Editing Metadata
Data Joining
Data Blending

Module 20: Worksheets

Add and Rename
Save and Delete
Reorder Worksheet
Paged Workbook

Module 21: Calculations

Operators
Functions
Calculations

Numeric
String
Date
Table

LOD Expressions

Module 22: Sort and Filters

Basic Sorting
Basic Filters
Filters
Quick
Context
Condition
Top Filters
Filter Operations

Module 23: Tableau Charts

Chart

Bar
Line
Pie

Crosstab
Scatter Plot
Bubble Chart
Bullet Graph
Box Plot
Tree Map
Bump Chart
Gantt Chart
Histogram
Motion Charts
Waterfall Charts

Who should attend this Advanced Data Analytics Certification Course?

The Advanced Data Analytics Course in the United States is designed for individuals aiming to delve deep into Data Analysis techniques, methodologies, and applications. Here are the candidates who would benefit immensely from attending an Advanced Data Analytics Certification Course:

Data Scientists
Data Analysts
Business Analysts
Statisticians
Machine Learning Engineers
Business Intelligence Professionals
Database Administrators
Quantitative Researchers

Prerequisites of the Advanced Data Analytics Certification Course

There are no formal prerequisites for attending this Advanced Data Analytics Certification Course.

Advanced Data Analytics Certification Course Overview

The Advanced Data Analytics Course in the United States is a vital exploration into the dynamic field of Data Analysis and interpretation. Data Analytics is at the core of decision-making across industries, making this course not just relevant but indispensable. With the ever-increasing volume of data being generated, the ability to extract meaningful insights is crucial for businesses and organizations to thrive in the digital age.

Proficiency in Advanced Data Analytics is imperative for professionals across various domains, including Data Scientists, Business Analysts, Marketers, and IT Professionals. In this era of information overload, those who master data analytics possess a competitive edge, enabling them to make informed decisions, enhance operations, and drive organizational growth in the United States.

This intensive 4-day Advanced Data Analytics Course in the United States is designed to equip delegates with the essential skills and knowledge needed to navigate the intricate landscape of Advanced Data Analytics effectively. Through hands-on experience and expert guidance, delegates will gain a deep understanding of data modelling, predictive analytics, and data visualisation techniques.

Course Objectives:

To learn about data visualization that represents data graphically
To understand data wrangling for unifying and cleaning messy data
To become familiar with the importance of sorting and filtering
To design dashboard using data model that store information systematically
To analyse data with Python using NumPy and Pandas libraries
To know about Tableau charts that illustrates trends and outliers

Upon completing this Advanced Data Analytics Course, delegates in the United States will be able to analyse and visualize the information by extracting it from raw data. They will also be able to create capstone projects such as credit card fraud detection using Machine Learning, an e-commerce sales dashboard in Excel, etc., to gain expertise in the Data Analytics field.

What’s included in this Advanced Data Analytics Certification Course?

World-Class Training Sessions from Experienced Instructors
Advanced Data Analytics Certificate
Digital Delegate Pack

Why choose us

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Advanced Data Analytics Course {location}. Engage directly with expert instructors, mirroring the classroom schedule for a comprehensive learning journey. Enjoy the convenience of virtual learning without compromising on the quality of interaction.

Learn more in our FAQs

Unlock your potential with The Knowledge Academy's Advanced Data Analytics Course {location}, accessible anytime, anywhere on any device. Enjoy 90 days of online course access, extendable upon request, and benefit from the support of our expert trainers. Elevate your skills at your own pace with our Online Self-paced sessions.

Learn more in our FAQs

What our customers are saying

Advanced Data Analytics Course {location} FAQs

What is Data Analytics?

Data analytics involves the interpretation, processing, and visualization of data to extract meaningful insights and support decision-making. It encompasses various techniques and tools to analyze and interpret large datasets.

Why start a career in Data Analytics?

Starting a career in Data Analytics offers opportunities to work with valuable insights, make informed decisions, and contribute to business success. The demand for Data Analysts is high, and it's a field that continues to grow, providing a rewarding career path.

What are the responsibilities of a Data Analyst?

The responsibilities of a Data Analyst include collecting, processing, and analyzing data to help organizations make informed decisions. They may also create visualizations, identify trends, and communicate findings to support business strategies.

What skills do I need to be a Data Analyst?

To be a Data Analyst, you need skills in data interpretation, statistical analysis, data visualization, and proficiency in tools like Excel, SQL, and data visualization software. Strong communication skills are also crucial for effectively conveying findings.

Does Data Analysis require coding?

While coding is not always mandatory for basic Data Analysis, having coding skills can significantly enhance a data analyst's capabilities. Knowledge of languages like Python or R is beneficial for handling larger datasets and more complex analyses.

What is the difference between Data Analysis and Data Science?

Data Analysis involves interpreting and extracting insights from data, often using statistical methods and tools. Data Science, on the other hand, is a broader field that includes Data Analysis but also encompasses Machine Learning, predictive modeling, and more advanced techniques to derive insights and build models.

What methods of study are available for Data Analysis Courses?

Data Analysis Courses can be studied through various methods, including online courses, in-person classes, and self-paced learning.

What tools or platforms are included in the curriculum?

The tools and platforms included in the curriculum are commonly used tools like Microsoft Excel, SQL for database querying, programming languages like Python or R, and data visualization tools such as Tableau or Power BI. The specific tools may depend on the course and its objectives.

What are the prerequisites of the course?

There are no formal prerequisites for attending this Advanced Data Analytics Training Course.

Who should attend this Advanced Data Analytics Certification Course?

Advanced Data Analytics Courses are designed for professionals who want to deepen their knowledge and skills in Data Analytics like Data Scientists, Business Analysts, Data Analysts, Business Intelligence Professionals, etc.

What are the steps involved in the Data Analysis process?

The Data Analysis process typically involves several key steps, including data collection, data cleaning, exploratory data analysis, data modeling, data visualization, and drawing conclusions. Each step contributes to extracting meaningful insights from raw data.

How will this Advanced Data Analytics Certification be beneficial for delegates?

This Advanced Data Analytics Training is designed to provide delegates with advanced skills and knowledge in data analytics, enhancing their ability to analyze complex datasets, make informed decisions, and contribute to data-driven strategies.

What will I learn in this Advanced Data Analytics Certification?

In this certification, delegates will gain proficiency in advanced Data Analysis techniques, including Machine Learning, predictive modeling, and statistical analysis. They will learn to work with large datasets, extract valuable insights, and communicate findings effectively.

What is the cost/training fees for Advanced Data Analytics Course {location} certification in the United States?

The training fees for Advanced Data Analytics Course {location} certification in the United States starts from $4395

Which is the best training institute/provider of Advanced Data Analytics Course {location} in the United States?

The Knowledge Academy is the Leading global training provider for Advanced Data Analytics Course {location}.

What are the best Big Data and Analytics Training courses in the United States?

Please see our Big Data and Analytics Training courses available in the United States

Why choose us

Best price in the industry

You won't find better value in the marketplace. If you do find a lower price, we will beat it.

Many delivery methods

Flexible delivery methods are available depending on your learning style.

High quality resources

Resources are included for a comprehensive learning experience.

"Really good course and well organised. Trainer was great with a sense of humour - his experience allowed a free flowing course, structured to help you gain as much information & relevant experience whilst helping prepare you for the exam"

Joshua Davies, Thames Water

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Advanced Data Analytics Course in United States

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