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 Training is designed for individuals aiming to delve deep into Data Analysis techniques, methodologies, and applications. This course can be beneficial for a wide range of professionals, including:

  • Data Scientists
  • Data Analysts
  • Business Analysts
  • 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

Advanced Data Analytics stands at the forefront of enabling businesses and organisations to make data-driven decisions. By leveraging complex datasets, analytics techniques, and tools, professionals can uncover valuable insights, predict trends, and optimise operations, making it a critical skill in today’s data-centric world.

Proficiency in Advanced Data Analytics is crucial for data scientists, business analysts, and IT professionals who aim to excel in predictive analytics, extensive data analysis, and visualisation. Mastering this domain enables them to drive strategic decisions, enhance business outcomes, and maintain a competitive edge in the rapidly evolving digital landscape.

This 4-day training is designed to equip delegates with the knowledge and skills to apply advanced analytics techniques effectively. Participants will learn to navigate complex data, utilise modern analytics tools, and implement best practices in data analysis, preparing them for immediate application in real-world scenarios and advancing their careers.

Course Objectives

  • To understand the foundational and advanced principles of data analytics
  • To learn to apply statistical models and machine learning algorithms for predictive analytics
  • To gain proficiency in using leading analytics software and tools
  • To develop skills in data visualisation and interpretation of results for strategic decision-making
  • To enhance data handling capabilities, including big data platforms

After completing this Data Analytics Course, delegates will receive a certification, signifying their ability to handle complex analytics projects. This certification boosts career prospects, showcases expertise, and empowers data-driven contributions in organisations.

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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

Our Hong Kong venue

Includes..

Free Wi-Fi

To make sure you’re always connected we offer completely free and easy to access wi-fi.

Air conditioned

To keep you comfortable during your course we offer a fully air conditioned environment.

Full IT support

IT support is on hand to sort out any unforseen issues that may arise.

Video equipment

This location has full video conferencing equipment.

Hong Kong is an autonomous territory of the People’s Republic of China and can be located on the southern coast of China. Hong Kong has a population of around 7 million people. The education system in Hong Kong is mostly based around the English system and it is overseen by the Education Bureau and the Social Welfare Department. One of the earliest schools in Hong Kong was Li Ying College established in 1075. The education level begins with preschool education that is payable education, paid by pupil’s parents. The primary and secondary education is mandatory for every child in Hong Kong to attend from the age of 6 to 18. Higher education remains exclusive in Hong Kong and adult education is a growing sector in Hong Kong, with two non-profit school running evening courses. The University of Hong Kong was founded in 1911 and is the oldest tertiary (higher education) institution in Hong Kong and is organised into 10 academic faculties with English as the main language of instruction. The Education Bureau in Hong Kong also provides educational services for immigrant children from mainland China and other countries. Hong Kong also has 175 internal schools.

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Address

62/F & 66/F
The Center
99 Queens Road
Central
Hong Kong

T: +852 2592 5349

Ways to take this course

Experience live, interactive learning from home with The Knowledge Academy's Online Instructor-led Advanced Data Analytics Certification | Analytics Training in Hong Kong. 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.

Unlock your potential with The Knowledge Academy's Advanced Data Analytics Certification | Analytics Training in Hong Kong, 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

Advanced Data Analytics Certification | Analytics Training in Hong Kong FAQs

The Advanced Data Analytics Certification by The Knowledge Academy equips learners with the skills to handle complex datasets, perform predictive and prescriptive analytics, and make data-driven decisions. It covers advanced tools and techniques, including machine learning, statistical analysis, and big data analytics.
To become an Advanced Data Analyst, you need a strong foundation in data analytics, followed by specialised training in advanced techniques like machine learning, data modeling, and predictive analytics. The Knowledge Academy's Advanced Data Analytics Certification is an excellent pathway to gain these skills and enhance your expertise.
Data analytics involves examining datasets to draw basic insights and trends, while advanced analytics goes a step further with predictive and prescriptive techniques, using tools like machine learning and artificial intelligence to forecast future trends and make strategic decisions.
This course is ideal for Data Professionals looking to advance their skills, as well as individuals aspiring to transition into advanced data roles. It’s also suitable for business analysts, IT professionals, and anyone involved in data-driven decision-making.
The course covers a wide range of topics, including data mining, statistical analysis, predictive analytics, machine learning, big data tools, and data visualisation techniques. You will also learn how to use platforms like Python, R, and SQL for advanced analytics.
There are no formal prerequisites for this Advanced Data Analytics Training. However, a basic knowledge of data analysis, statistics, or programming languages like Python or R will be beneficial.
Yes, The Knowledge Academy offers tailored corporate training for teams, helping organisations upskill their workforce in advanced data analytics. Our corporate packages are flexible and designed to meet the specific needs of businesses across industries.
The Advanced Data Analytics Certification offers a competitive edge by providing hands-on experience with cutting-edge tools and methodologies. It boosts your analytical capabilities, improves decision-making skills, and enhances your career prospects in a rapidly growing industry.
Yes, The Knowledge Academy offers a flexible self-paced option for this course, allowing learners to study at their own convenience. This option is ideal for those with busy schedules or those who prefer to learn at their own pace.
The course includes comprehensive study materials, practical exercises, real-world case studies, and access to leading data analytics software. You’ll also receive support from expert trainers throughout your learning journey.
The course duration for this Online Data Analytics Course is 4 days.
Yes, we provide 24/7 support for all learners attending our online courses. Whether you need help with technical issues or have questions about the course content, our dedicated support team is always available.
You will learn advanced data analytics techniques, including predictive modeling, machine learning, big data handling, and data visualisation. Additionally, you’ll master tools like Python, R, and SQL to perform complex data analysis and make informed decisions.
After completing the certification, you can pursue advanced roles such as Data Scientist, Senior Data Analyst, or Analytics Consultant. You may also consider specialising in areas like machine learning, AI, or big data analytics to further enhance your skills.
The certification opens up numerous career opportunities in data-driven industries. It demonstrates your expertise in advanced analytics, making you a strong candidate for roles like Data Scientist, Analytics Manager, or Data Engineer in top organisations.
Yes, The Knowledge Academy provides continued access to the course materials even after the training period ends. This allows you to revisit the content and reinforce your learning whenever necessary.
Upon successful completion, you will receive a globally recognised certification in Advanced Data Analytics from The Knowledge Academy, which showcases your proficiency and expertise in advanced data analytics techniques.
Attending the course is easy. You can sign up directly through The Knowledge Academy's website or contact our support team to assist you with the registration process. We offer multiple course delivery options to suit your needs.
After completing this course, you can pursue roles like Data Scientist, Senior Data Analyst, Business Intelligence Analyst, or Analytics Manager. These roles offer excellent career growth opportunities in various industries, including finance, healthcare, and technology.
The Knowledge Academy stands out as a prestigious training provider known for its extensive course offerings, expert instructors, adaptable learning formats, and industry recognition.
The training fees for Advanced Data Analytics Coursein Hong Kong starts from HKD11995
The Knowledge Academy is the Leading global training provider for Advanced Data Analytics Course.
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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"

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