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Advanced Data Analytics Course 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. 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.
Live classes
Join a scheduled class with a live instructor and other delegates.
Interactive
Engage in activities, and communicate with your trainer and peers.
Global Pool of the Best Trainers
We handpick from a global pool of expert trainers for our Online Instructor-led courses.
Expertise
With 10+ years of quality, instructor-led training, we equip professionals with lasting skills for success.
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With classes running in all timezones, access any of our courses and course material from anywhere, anytime.
Unlock your potential with The Knowledge Academy's Advanced Data Analytics Course, 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.
What our customers are saying
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Advanced Data Analytics Course FAQs
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.
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.
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.
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.
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.
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.
Data Analysis Courses can be studied through various methods, including online courses, in-person classes, and self-paced learning.
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.
There are no formal prerequisites for attending this Advanced Data Analytics Training 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.
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.
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.
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.
The training fees for Advanced Data Analytics Coursein the United States starts from $4395
The Knowledge Academy is the Leading global training provider for Advanced Data Analytics Course.
Please see our Big Data and Analytics Training courses available in the United States
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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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