Skill Up Card - Course Bundles

Pricing is per delegate, giving you huge savings over the cost of individual courses.

  • UK = £2,000 + VAT per Skill Up Card
  • Ireland = €2,400 per Skill Up Card
skill up card logo - Nexus Human

Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510)

4.6 out of 5 rating Last updated 13/12/2024   English

Jump to outline

Global Schedule

GTR = Guaranteed to Run

18 Feb 25 Book
15:00 - 23:00 Live Online 2,395
23 Apr 25 Book
15:00 - 23:00 Live Online 2,395

23 Jun 25 Book
15:00 - 23:00 Live Online 2,395
25 Aug 25 Book
15:00 - 23:00 Live Online 2,395
27 Oct 25 Book
14:00 - 22:00 Live Online 2,395
Duration

3 Days

18 CPD hours

Overview

Throughout the course you will explore:
-Data Encoding: Dive into data encoding to seamlessly translate diverse information into a machine-friendly format.
-Data Manipulation Mastery: You'll get comfortable with encoding, scaling, and normalizing data. By the end of the course, the curse of dimensionality will no longer be a challenge.
-Quality Analysis Confidence: Learn how to identify and remove duplicates, handle null values, manage outliers, and work with dates in your data. You'll be a pro at maintaining clean datasets.
-Feature Analysis Wizardry: Discover how to identify unused columns, detect low variance ones, and understand multicollinearity. By the end of the workshop, feature selection will feel like second nature.
-Pipeline Proficiency: Gain a deep understanding of the critical role of pipelines in machine learning and develop the skills to create and implement your own data preprocessing pipelines.
-Machine Learning Basics: Get introduced to the fundamentals of machine learning, understand k-fold cross-validation, master the art of partitioning data, and learn how to prevent data leakage. You'll be set to step confidently into the world of machine learning.

Description

In the world of machine learning, the quality of input data is critical. Machine learning models that use bad data input produce inaccurate and unreliable results, undermining their effectiveness and trustworthiness. Our Machine Learning Essentials Boot Camp: Preparing Your Data is a three-day hands-on skills immersion course geared for students who need to how to effectively prepare and optimize data for use in machine learning models, ensuring they produce accurate, useful and insightful predictions.
Throughout the course, guided by our expert instructor, you'll engage in workshop-style practical labs that will provide you with the real-world skills and hands-on experience needed to manage, prep and clean your data for successful machine learning model applications.
You'll learn how to translate diverse data into an analytically-friendly format, ensuring compatibility with machine learning algorithms. You'll learn how to scale and normalize data, ensuring consistent data representation, crucial for accurate model training and predictions. You'll navigate the intricacies of data transformation and refinement, and learn how to translate diverse datasets into formats friendly to machine learning algorithms. You'll also explore feature selection and dimensionality reduction, striking the balance between data richness and computational efficiency. You'll also grasp how to safeguard your data's journey with robust pipelines and preventive measures against data leakage, cementing the trustworthiness of your real-world model deployments. Lastly, you'll explore the complete lifecycle of a machine learning project, from data preparation to model deployment, you're equipped to oversee and implement comprehensive data-driven solutions.
By the end of this immersive boot camp, you'll be fully-equipped with a comprehensive skillset that not only enhances the predictive power of your models but also sets the foundation for innovative, data-driven solutions. You'll be ready to advance in your Machine Learning journey, leveraging your newly acquired skills towards model proficiency.

Prerequisites

This is an intermediate-level program, designed to prepare attendees for a deeper dive into next-level, heavy hands-on machine learning courses and workshops. Attendees should have practical, hands-on experience working with Python for Data Science, pandas and numpy.

Getting Started with Data
Explore the role and importance of data in machine learning.
Encoding data: Transform raw data into a format suitable for analytics.
Dealing with the curse of dimensionality: Navigate high-dimensional spaces effectively.
Scaling and normalizing data: Standardize data for consistent analysis.
Hands-on Activity / Lab
Structural Analysis
Delve into the intricate patterns that define data.
Importing libraries: Equip yourself with the right tools for data manipulation.
Importing data: Initiate the first steps of data-driven exploration.
Conducting basic data investigation: Peek into the essence of your dataset.
Utilizing relevant tools for data structure analysis: Get acquainted with state-of-the-art tools to dissect data structure.
Hands-on Activity / Lab
Quality Analysis
Refine data sets by spotting and fixing errors.
Identifying and removing duplicates: Ensure uniqueness in your dataset.
Handling null values and missing data: Fill the gaps in your data with precision.
Detecting and managing outliers: Understand and manage extreme data points.
Working with dates in data: Harness the power of time-series data.
Hands-on Activity / Lab
Exploratory Data Analysis
Dive deep into data to extract meaningful insights.
Conducting univariate analysis: Analyze one variable at a time.
Conducting bivariate analysis: Discover relationships between two variables.
Conducting multivariate analysis: Understand complex data interactions.
Using pivot tables for data analysis: Summarize data visually and numerically.
Understanding correlation: Measure linear relationships between variables.
Understanding mutual information: Gauge dependency between variables.
Hands-on Activity / Lab
Data Features
Pinpoint the most impactful data components.
Identifying and dropping unused columns: Streamline data for efficiency.
Detecting and handling low variance or no variance columns: Maintain data variability.
Understanding multicollinearity (VIF): Ensure independent predictor variables.
Feature Selection
Prioritize the most relevant data features for robust models.
Using wrappers (RFE, Forward, Backward selection): Implement dynamic feature selection.
Using filters (Statistical tests): Opt for features based on statistical relevance.
Using embedded methods: Integrate feature selection into algorithm functionality.
Understanding unsupervised feature selection methods: Navigate feature selection without target variables.
Hands-on Activity / Lab
Feature Importance
Gauge the significance of different data features in prediction.
Understanding dimensionality reduction: Simplify data without losing information.
Using Principal Component Analysis (PCA): Transform data to highlight variance.
Using Linear Discriminant Analysis (LDA): Optimize class separability.
Hands-on Activity / Lab
Encoding, Scaling, and Skewness
Tailor data formats for better compatibility with machine learning algorithms.
Encoding categorical variables: Convert categories into numerical values.
Scaling numerical variables: Maintain consistency in data magnitude.
Detecting and correcting skewness in data: Normalize data distributions.
Hands-on Activity / Lab
Pipelines
Streamline machine learning workflows with seamless data transitions.
Understanding the role of pipelines in machine learning: Appreciate the significance of efficient workflows.
Creating and implementing data preprocessing pipelines: Process data in a structured manner.
Using pipelines for efficient cross-validation and hyperparameter tuning: Optimize model parameters with ease.
Hands-on Activity / Lab
Introduction to Machine Learning
Lay the groundwork for next-level machine learning practices.
Understanding k-fold cross-validation: Assess model performance effectively.
Using resampling techniques: Balance dataset disparities.
Dividing data into training and test sets: Create a structured environment for model training and evaluation.
Identifying and preventing data leakage: Maintain the integrity of your datasets.
Understanding the basic types and applications of machine learning models
Capstone Project: Develop an end-to-end machine learning model: Apply the course skills to develop a complete data-driven projects.
Additional course details:

Nexus Humans Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training program is a workshop that presents an invigorating mix of sessions, lessons, and masterclasses meticulously crafted to propel your learning expedition forward.

This immersive bootcamp-style experience boasts interactive lectures, hands-on labs, and collaborative hackathons, all strategically designed to fortify fundamental concepts.

Guided by seasoned coaches, each session offers priceless insights and practical skills crucial for honing your expertise. Whether you're stepping into the realm of professional skills or a seasoned professional, this comprehensive course ensures you're equipped with the knowledge and prowess necessary for success.

While we feel this is the best course for the ITS Data Analytics course and one of our Top 10 we encourage you to read the course outline to make sure it is the right content for you.

Additionally, private sessions, closed classes or dedicated events are available both live online and at our training centres in Dublin and London, as well as at your offices anywhere in the UK, Ireland or across EMEA.

FAQ for the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) Course

Available Delivery Options for the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training.
  • Live Instructor Led Classroom Online (Live Online)
  • Traditional Instructor Led Classroom (TILT/ILT)
  • Delivery at your offices in London or anywhere in the UK
  • Private dedicated course as works for your staff.
How many CPD hours does the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training provide?

The 3 day. Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training course give you up to 18 CPD hours/structured learning hours. If you need a letter or certificate in a particular format for your association, organisation or professional body please just ask.

Which exam does the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training course prepare you for?

The Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) prepares you for the Yes official exam. You can take this exam at any exam center across Ireland including, Dublin, Cork, Galway, Northern Ireland or live online where ever you are. Exams vary in duration and if required you can request with the provider for any accommodations appropriate for you.

What is the correct audience for the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training?

This course is geared for data scientists and business professionals seeking to leverage data insights in decision-making. It's also ideal for software developers wanting to diversify their skills into the exciting field of machine learning. Whether you're a student eager to jumpstart your career or an experienced professional looking to enhance your data-driven strategies, our hands-on workshop offers a valuable learning experience to transform you into a confident data handler and problem-solver.

Do you provide training for the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510).

Yes we provide corporate training, dedicated training and closed classes for the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510). This can take place anywhere in Ireland including, Dublin, Cork, Galway, Northern Ireland or live online allowing you to have your teams from across Ireland or further afield to attend a single training event saving travel and delivery expenses.

What is the duration of the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) program.

The Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training takes place over 3 day(s), with each day lasting approximately 8 hours including small and lunch breaks to ensure that the delegates get the most out of the day.

What other terms do people search for when looking for this course?

Popular related searched include AI; Machine Learning.

Why are Nexus Human the best provider for the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510)?
Nexus Human are recognised as one of the best training companies as they and their trainers have won and hold many awards and titles including having previously won the Small Firms Best Trainer award, national training partner of the year for Ireland on multiple occasions, having trainers in the global top 30 instructor awards in 2012, 2019 and 2021. Nexus Human has also been nominated for the Tech Excellence awards multiple times. Learning Performance institute (LPI) external training provider sponsor 2024.
Is there a discount code for the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training.

Yes, the discount code PENPAL5 is currently available for the Machine Learning Boot Camp / SkillJourney / Part 1: Data Prep & Cleaning (TTMl5510) training. Other discount codes may also be available but only one discount code or special offer can be used for each booking. This discount code is available for companies and individuals.

Jump to dates

Training Insurance Included!

When you organise training, we understand that there is a risk that some people may fall ill, become unavailable. To mitigate the risk we include training insurance for each delegate enrolled on our public schedule, they are welcome to sit on the same Public class within 6 months at no charge, if the case arises.

What people say about us


Top