Course information

Advanced Data Science Certification​ Course Outline

Module 1: 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 2: 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
  • Eval() and Query()

Module 3: Python for Data Visualisation – Matplotlib

  • Overview
  • Object-Oriented Interface
  • Two interfaces
  • 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 4: 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
  • Compare the Use Cases of Swarn Plots, Bar Plots Strip Plots, and Categorical Plots
  • Recall Some of the Use Cases and Features of Seaborn

Module 5: Machine Learning

  • Introduction
  • Importance
  • Types
  • How Machine Learning Works?
  • Machine Learning Mathematics

Module 6: Natural Language Processing

  • Introduction to NLP
  • NLP and Writing Systems
  • Advantages
  • NLP Applications

Module 7: Deep Learning

  • Introduction
  • Importance
  • Working

Module 8: Big Data

  • Big Data Analytics
  • State of Practice in Analytics
  • Main Roles for New Big Data Ecosystem
  • Phases of Data Analytics Lifecycle

Module 9: Working with Data in R

  • Data Manipulation in R
  • Data Clean Up
  • Reading and Exporting Data
  • Importing Data
  • Charts and Graphs

Module 10: Regression in R

  • Regression Analysis
  • Linear Regression
  • Logistic Regression
  • Multiple Regression
  • Normal Distribution
  • Binomial Distribution

Module 11: Modelling Data

  • What are the Relationships?
  • Viewing Relationships
  • Creating Relationships
  • Cardinality
  • Cross Filter Direaction
  • What is DAX?
  • Syntax
  • Functions
  • Row Context
  • Calculated Columns
  • Calculated Tables
  • Measures

Module 12: Shaping and Combining Data using Power BI

  • Query Editor
  • Shaping Data and Applied Steps
  • Advanced Editor
  • Formatting Data
  • Transforming Data
  • Combining Data

Module 13: Interactive Data Visualisations

  • Page Layout and Formatting
  • Multiple Visualisation
  • Creating Charts
  • Using Geographic Data
  • Histograms
  • Power BI Admin Portal
  • Service Settings
  • Desktop Settings
  • Dashboard and Report Settings

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Who should attend this Advanced Data Science Certification Course?

This Advanced Data Science Certification Course is tailored for individuals seeking to enhance their expertise in the field of data science. This training is particularly beneficial for professionals such as:

  • Experienced Data Analysts
  • Data Scientists
  • Machine Learning Engineers
  • Statisticians
  • Business Analysts
  • AI Developers
  • Entrepreneurs
  • Researchers

Prerequisites of the Advanced Data Science Certification Course

There are no formal prerequisites for the Advanced Data Science Certification Course. However, having prior knowledge of multiple programming languages will be beneficial for the delegates.

Advanced Data Science Certification Course Overview

In today's data-driven world, the demand for professionals with expertise in data science is soaring, and this Advanced Data Science Certification stands as a beacon for individuals seeking to navigate the intricate landscape of data science. Covering critical topics such as NumPy arrays, regression analysis, machine learning mathematics, and more, this training provides a robust foundation for those eager to harness the power of data.

Business Analysts, Data Engineers, Software Developers, and even executives can benefit significantly from mastering data science. In an era where every bit of data holds invaluable insights, those well-versed in data science possess a distinct advantage. They can unravel complex patterns, make informed decisions, and drive innovation.

This 4-day Advanced Data Science Certification Course is designed to empower delegates with practical knowledge and hands-on skills. It delves into essential concepts such as working with time series, three-dimensional plotting, data analytics lifecycle phases, and data manipulation using Power BI. By the end of this training, delegates will emerge as adept data scientists capable of working with data at expert-level

Course Objectives

  • To provide a comprehensive understanding of basic and advanced data science concepts
  • To equip delegates with practical skills in tools such as Pandas and Power BI
  • To cover critical topics like NumPy arrays, regression analysis, and machine learning mathematics
  • To empower business analysts, data engineers, software developers, and executives with data science proficiency
  • To enable delegates to unravel complex patterns and make informed decisions through data-driven insights
  • To ensure delegates emerge as adept data scientists capable of tackling real-world data challenges

Upon completion of this training, delegates will not only possess a solid foundation in data science but also practical skills in tools like Pandas and Power BI. This empowers them to analyse data effectively, make informed decisions, and contribute meaningfully to their organisations' success.

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

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

Why choose us

Our Milton Keynes venue

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Video equipment

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Milton Keynes is a large town located in Buckinghamshire, England. It is in the centre of the Borough of Milton Keynes and is located about 45 miles (72 km) north-west of London. Milton Keynes currently has an estimated population of over 200,000 residents inhabiting the city; it increased from 53,000 in 1961. Schools in Milton Keynes follow the British educational Tripartite System which is divided into three levels: Primary School, Secondary Schools and Higher Education. The education in Milton Keynes is compulsory for children up until they are 16 years old. The city offers over 80 state schools which are Comprehensive School including Stantonbury Campus and Denbigh School, as well as Grammar Schools. The city also includes Private Schools, Webber Independent School, which is a mixes school for children from the ages of 3 to 18 years old, and the Milton Keynes Preparatory School which is also a mixed schools forma age 2 ½ years old to 11 years old. Milton Keynes also offers Special Schools and Alternative Schools for children living in the city including The Redway School and White Spire School. There are four independent Primary and Preparatory Schools including: Broughton Manor Preparatory School, Walton Pre Preparatory School, Milton Keynes Preparatory School, and the Grove School.

Popular searched areas in and around Milton Keynes include:-

  • Bletchley
  • Brooklands
  • Broughton
  • Kingston
  • Loughton
  • Middleton
  • Nash
  • Northfield
  • Salford
  • Simpson
  • Springfield
  • Stonebridge
  • Stony Stratford
  • Thornton
  • Walnut Tree
  • Walton
  • Walton Hall
  • Woburn
  • Wolverton

Milton Keynes is home to The Open University's (OU) headquarters which is situated in the Walton Hall district. It is a public university and was established in 1969 and has nearly 170,000 students; with 156,000 undertaking their undergraduate degrees and 11,000 doing their postgraduates. The Open University has study off-campuses based all over the UK and all over the world. There are many notable current and former academics including astronomer Jocelyn Bell Burnell, editor of Red Pepper magazine Hilary Wainwright, discourse analyst, social psychologist Margaret Wetherell, and space scientist John Zarnecki. Open University's (OU) also has over two million alumni that attended the university. Milton Keynes is notable for its world-famous architect Sir Norman Foster in designing the city as well as the Foster's Beanhill housing scheme.

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Address

Milton Keynes

T: 01344203999

Ways to take this course

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

Experience the most sought-after learning style with The Knowledge Academy's Advanced Data Science Certification | Data Science Training in Milton Keynes. Available in 490+ locations across 190+ countries, our hand-picked Classroom venues offer an invaluable human touch. Immerse yourself in a comprehensive, interactive experience with our expert-led Advanced Data Science Certification | Data Science Training in Milton Keynes sessions.

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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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