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Course Information

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 Visualisation 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
  • Optimisation 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 Normalisation
  • Entity-Relationship Model
  • SQL Operators
  • Join, Tables, and Variables
  • SQL Functions
  • Subqueries
  • Views and Stored Procedures
  • User-Defined Functions
  • SQL Performance and Optimisation
  • 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 Optimisation
  • 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 Colours
  • 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 Visualisation 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
  • Visualise 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
  • Customise with Macros, Colour, 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
  • Vectorised String Operations
  • Working with Time Series

Module 16: Python for Data Visualisation – Matplotlib

  • Overview
  • Object-Oriented Interface
  • Simple Line Plots and Scatter Plots
  • Visualising Errors
  • Contour Plots
  • Histograms, Binnings, and Density
  • Customising Plot Legends
  • Customising Colour Bars
  • Multiple Subplots
  • Text Annotation
  • Three-Dimensional Plotting

Module 17: Python for Data Visualisation – 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

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Who should attend this Advanced Data Analytics Certification Course?

The Advanced Data Analytics Certification Course 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

Data Analytics is the scientific discipline that analyse raw data and uses that information to draw conclusions. The process has been automated into algorithms and mechanical processes that work with raw data for human consumption. It is critical to optimise business performance and implement business models that can reduce costs by storing massive amounts of data and identifying efficient business practices. A Data Analyst is responsible for using automated tools, maintaining databases, and preparing final analysis reports. This training assists aspiring candidates with the essential skills of engineering and interpreting data in Python. Individuals with these skills and knowledge will get higher designations at multinational corporations and ultimately climb up the ladders of success.

In this 4-day Advanced Data Analytics Certification, delegates will gain a comprehensive knowledge of data analytics using various programming languages and will learn techniques to expert those languages. During this certification, delegates will learn about business analytics with Excel to gain business perceptions and brush up on their Microsoft Excel skills. They will also learn about programming basics and analytics with Python using the libraries NumPy, Pandas, Matplotlib, and Seaborn. Our highly skilled trainer with years of teaching experience will conduct this training certification and equip delegates with advanced data analysis and statistical methods.

Course Objectives

  • To learn about data visualisation 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

After attending this training certification, delegates will be able to analyse and visualise 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.

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

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

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Why choose us

Ways to take this course

Our easy to use Virtual platform allows you to sit the course from home with a live instructor. You will follow the same schedule as the classroom course, and will be able to interact with the trainer and other delegates.

Our fully interactive online training platform is compatible across all devices and can be accessed from anywhere, at any time. All our online courses come with a standard 90 days access that can be extended upon request. Our expert trainers are constantly on hand to help you with any questions which may arise.

This is our most popular style of learning. We run courses in 1200 locations, across 200 countries in one of our hand-picked training venues, providing the all important ‘human touch’ which may be missed in other learning styles.


Highly experienced trainers

All our trainers are highly qualified, have 10+ years of real-world experience and will provide you with an engaging learning experience.


State of the art training venues

We only use the highest standard of learning facilities to make sure your experience is as comfortable and distraction-free as possible


Small class sizes

We limit our class sizes to promote better discussion and ensuring everyone has a personalized experience


Great value for money

Get more bang for your buck! If you find your chosen course cheaper elsewhere, we’ll match it!

This is the same great training as our classroom learning but carried out at your own business premises. This is the perfect option for larger scale training requirements and means less time away from the office.


Tailored learning experience

Our courses can be adapted to meet your individual project or business requirements regardless of scope.


Maximise your training budget

Cut unnecessary costs and focus your entire budget on what really matters, the training.


Team building opportunity

This gives your team a great opportunity to come together, bond, and discuss, which you may not get in a standard classroom setting.


Monitor employees progress

Keep track of your employees’ progression and performance in your own workspace.

What our customers are saying

Advanced Data Analytics Certification FAQs


Data Analytics assists organisations and individuals in making sense of data and typically mines raw data to get trends and insights. They use a variety of tools that enable organisations to make effective decisions and succeed.
There are no formal prerequisites for attending this Advanced Data Analytics Certification.
This training certification is curated by The Knowledge Academy for everyone who wants to equip themselves with the knowledge of Data Analytics and intermediates to take themselves to the next level.
The main steps involved in data analysis are to determine data requirements, collect data from various sources, clean it to remove errors and duplications, and then organise as well as analyse it.
Data analyst is responsible to remove corrupted data and fix related problems, analyse quality and data, use automated tools to extract data, assign numerical values to business functions, and prepare final analysis reports.
After attending this Advanced Data Analytics Certification, delegates will be able to analyse the data and extract meaningful information from the raw data. They will also be able to collect, clean, and store data for further use and draw appropriate conclusions from that information.
In this Advanced Data Analytics Certification, you will learn about full-fledge concepts of data analytics, data visualisation for decision making, data wrangling with SQL, various Python libraries, Power Pivot and formula auditing, DAX variables and formatting, and other engrossing topics.
The price for Advanced Data Analytics Certification certification in the United Kingdom starts from £1995
The Knowledge Academy is the Leading global training provider for Advanced Data Analytics Certification.

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.

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"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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