Name: Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python
Price: 82.99 GBP
Availability: InStock

Inverness

<h1 dir="ltr" id="isPasted" fr-original-style="" style="box-sizing: border-box;">Course Overview:</h1>This training based on leading teams will help you to develop anyone that leads a team or is involved in a leadership role. It is also useful for those that are about to embark on a position of leadership or need to develop their leadership skills.Course Contents:Having an effective team around you is crucial. However, it is an area that is often left to chance, which can lead to de-motivated individuals that do not feel part of the business and consequently do not perform. This course looks at what it takes to lead an effective team and how you can get the best out of the people in it by understanding the role of the leader, both personally and from the point of view of the team.Course Topics:<ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Qualities of an Effective Leader&nbsp;&ndash; Identifying the key characteristics of effective leaders, rating themselves against them and establishing key actions to develop the skills.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Leader or Manager?&nbsp;&ndash; Establishing the difference between the two and comparing themselves to those qualities.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">That Vision Thing&nbsp;&ndash; Making the business vision &lsquo;live&rsquo; for the team by answering key questions.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Developing Your Team Goals&nbsp;&ndash; Reviewing an action plan that develops clear goals for their team based on the business vision.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Motivation&nbsp;&ndash; Determining the &lsquo;Why&rsquo; for their staff and developing an understanding of emotions in a business context.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">What Motivates?&nbsp;&ndash; Looking at specific motivators for individuals and understanding that everyone is motivated by different things.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Being Consistently Different&nbsp;&ndash; Going against popular leadership theory and identifying that each staff member needs to be treated differently.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Dealing With Difficult Team Members&nbsp;&ndash; Understanding why team members are difficult. Looking at different behavior types and strategies for responding to them. Also, realizing that &lsquo;difficult&rsquo; behavior sometimes has its benefits.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Coaching&nbsp;&ndash; Using a simple method of coaching, including action plans.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Three Key Skills of Coaching&nbsp;&ndash; Looking at the skills required to be an effective coach.</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Instant Results Coaching&nbsp;&ndash; Coaching in a hurry!</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Can Do Coaching Practice&nbsp;&ndash; Putting the learning into practice</li></ul>Course Feature:By the end of this training you will be able to:<ul fr-original-style="" style="box-sizing: border-box;"><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Explain the qualities of an effective leader</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Benchmark themselves against those qualities and develop actions to improve</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Explain the difference between leading and managing</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Explain the value of sharing the business vision with the team</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Develop team goals based on the business vision</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Motivate their staff by understanding their drivers and developing actions to support them</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Deal with difficult staff members</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Challenge staff in a meaningful and effective way</li><li dir="ltr" style="color: rgb(0, 0, 0); box-sizing: border-box;" fr-original-style="color:#000000;">Coach staff effectively using a simple process</li></ul>Certification:Once after the training you receive course completion certificate from MangatesWho can Attend?Anybody who is interested in learning Effective Skills to Lead a Team.

Certificate: Course Completion Certificate | Language: English
Duration: 1 Day | Credits: 8 PDUs
Course Delivery: Classroom | Virtual Live
Lunch and Beverages are included in a classroom session

Course Overview:
Personal time management skills are essential for professional success in any workplace. Those able to successfully implement time management strategies are able to control their workload rather than spend each day in a frenzy of activity reacting to crisis after crisis - stress declines and personal productivity soars! These highly effective individuals are able to focus on the tasks with the greatest impact to them and their organization.
The Time Management workshop will cover strategies to help participants learn these crucial strategies. You will be given a skill set that includes personal motivation, delegation skills, organization tools, and crisis management. We"ll cover all this and more during this workshop.
Learning Objectives:
After completing this course, the learners will be able to: 
Explore why time management issues arise
Improve ability to plan and prioritize work
The importance of setting clear goals
Minimize wasted time and distractions in the workplace
How to avoid being deflected from your priorities
Self-motivation as a time management tool
Dealing with unexpected events that steal time
Tools and techniques for effective delegation
How to say 'no' to some 'now' requests
Agenda:
Module One: Goal Setting
The Three P"s
S.M.A.R.T. Goals
Prioritizing Your Goals
Visualization
Module Two: Prioritizing Your Time
The 80/20 Rule
The Urgent Versus Important Matrix
Assertiveness
Module Three: Planning Wisely
Creating Your Productivity Journal
Maximizing the Power of Your Productivity Journal
The Glass Jar: Rocks, Pebbles, Sand, and Water
Chunck, Block, and Tackle
Ready, Fire, Aim!
Module Four: Tackling Procrastination
Why We Procrastinate
Nine Ways to Overcome Procrastination
Eat That Frog!
Module Five: Crisis Management
When the Storm Hits
Creating a Plan
Executing the Plan
Lessons Learned
Module Six: Organizing Your Workspace
Declutter
Managing Workflow
Dealing with Email
Using Calendars
Module Seven: Delegating Made Easy
When to Delegate
To Whom Should You Delegate?
How Should You Delegate
Keeping Control
The Importance of Full Acceptance
Module Eight: Setting a Ritual
What is a Ritual?
Ritualizing Sleep, Meals, Exercise
Examples of Rituals
Using Rituals to Maximize Time
Module Nine: Meeting Management
Deciding if a Meeting is Necessary
Using the PAT Approach
Building the Agenda
Keeping Things on Track
Making Sure the Meeting Was Worthwhile
Module Ten: Alternatives to Meetings
Instant Messaging and Chat Rooms
Teleconferencing
Email Lists and Online Groups
Collaborating Applications
Module Eleven: Wrapping Up
Words from the Wise
Review of Parking Lot
Lessons Learned
Completion of Action Plans and Evaluations
Target Audience:
Anybody who is interested in Learning Time Management Skills

Mangates

Time Management 1 Day Training in Inverness

The sale ends 5 days before the event starts.

Early Bird Fee

The sale ends 10 days before the event starts.

Standard Fee

Glasgow

Time Management 1 Day Training in Glasgow

Edinburgh

Time Management 1 Day Training in Edinburgh

Dublin

Time Management 1 Day Training in Dublin

Crewe

Time Management 1 Day Training in Crewe

Corby

Time Management 1 Day Training in Corby

Chichester

Time Management 1 Day Training in Chichester

Hamilton, UK

Certificate: Course Completion Certificate | Language: English
Duration: 1 Day | Credits: 8 PDUs
Course Delivery: Classroom | Virtual Live
Lunch and Beverages are included in a classroom session
Course Overview:
The meaning of Soft Skills can sometimes be difficult to describe. It can be that unique attribute or characteristic that facilitates great communication. It can be the special way that you show confidence in a challenging situation. The events can become more easily managed with this great workshop.
With our 10 Soft Skills You Need workshop your participants will begin to see how important it is to develop a core set of soft skills. By managing and looking at how people interact and seeing things in a new light, your participants will improve almost every aspect of their careers.
Target Audience:
Professionals who are interested in learning 10 Soft Skills.
Learning Objectives:
After completing this course, Individuals will be able to demonstrate their understanding of:
What are Soft Skills?
Effective Communication
Teamwork
Problem Solving
Time Management
Attitude and Work Ethic
Adaptability/Flexibility
Self-Confidence
Ability to Learn From Criticism
Networking
Agenda:
Module One: What are Soft Skills?
Definition of Soft Skills
Empathy and the Emotional Intelligence Quotient
Professionalism
Learned vs. Inborn Traits
Case Study
Module One: Review Questions
Module Two: Soft Skill 1: Communication
Ways We Communicate
Improving Non-Verbal Communication
Listening
Openness and Honesty
Case Study
Module Two: Review Questions
Module Three: Soft Skill 2: Teamwork
Identifying Capabilities
Get Into Your Role
Learn the Whole Process
The Power of Flow
Case Study
Module Three: Review Questions
Module Four: Soft Skill 3: Problem Solving
Define the Problem
Generate Alternative Solutions
Evaluate the Plans
Implementation and Re-evaluation
Case Study
Module Four: Review Questions
Module Five: Soft Skill 4: Time Management
The Art of Scheduling
Prioritizing
Managing Distractions
The Multitasking Myth
Case Study
Module Five: Review Questions
Module Six: Soft Skills 5 and 6: Attitude and Work Ethic
What Are You Working For?
Caring for Others vs. Self
Building Trust
Work Is Its Own Reward
Case Study
Module Six: Review Questions
Module Seven: Soft Skill 7: Adaptability/Flexibility
Getting over the Good Old Days Syndrome
Changing to Manage Process
Changing to Manage People
Showing You"'re Worth Your Weight in Adaptability
Case Study
Module Seven: Review Questions
Module Eight: Soft Skill 8: Self-Confidence
Confident Traits
Self-Questionnaire
Surefire Confidence Building Tactics
Build Up Others
Case Study
Module Eight: Review Questions
Module Nine: Soft Skill 9: Ability to Learn From Criticism
Wow, You Mean I’m Not Perfect?
Listen With An Open Mind
Analyze and Learn
Clear the Air and Don"t Hold Any Grudges
Case Study
Module Nine: Review Questions
Module Ten: Soft Skill 10: Networking
Redefining Need
Identifying Others" Interests
Reaching Out
When to Back Off
Case Study
Module Ten: Review Questions
Module Eleven: Wrapping Up
Words From The Wise
Review Of The Parking Lot
Lessons Learned
Recommended Reading
Completion Of Action Plans And Evaluations

10 Soft Skills You Need 1 Day Training in Hamilton, UK

Building Better Careers with Soft Skills: 1-Day Workshop in Hamilton, UK

Guildford

Certificate: Course Completion Certificate | Language: English
Duration: 1 Day | Credits: 8 PDUs
Course Delivery: Classroom | Virtual Live
Lunch and Beverages are included in a classroom session

Course Overview:
This practical sales skills training has been developed for salespeople or people who are required to sell as part of their role. This course is applicable for both people relatively new to sales as well as those who have a lot of experience as the content is flexible enough to adapt to suit the audience.
If you want your team to exceed sales targets and gain instant results, this sales training is for you!
Course Contents:
The core aim of this sales skills training is to provide you with a set of tools that can be practicably used in your role as salesperson
The skills provided are simply a collection of valuable methods of achieving sales. There are many tips and techniques that will be incredibly useful and will help you personally develop a successful sales approach whilst enhancing your performance.
Course Topics:
The skills have been produced from many year’s experience in sales and have been tried and tested in a business environment.
Introduction, the 80:20 Rule – Why 20% of salespeople produce 80% of the business
The Perfect Salesperson –  What makes a perfect salesperson and how do the participants individually compare? An exercise which helps the participants appreciate that they need to develop further
Goal Setting – Why and how to set personal performance goals. Followed by an exercise on setting these goals
Build Trust – Developing trust and rapport with a prospect and understanding why this is crucial to their success.
Ask the Right Questions – Developing questioning skills and realising that it is often questions that will develop sales rather than a just a good pitch. With example questions
Engage the Customer – Understanding the life time value of a customer, serving them better and ensuring they perceive the value of the relationship
Be Specific – Adapting their approach to suit the individual customer with an activity related to identifying the specific benefits to the customer
Make Your Customer Smarter – Realizing that customers are now more willing to be educated on products and services and often have already researched prior to the sales conversation. How to deal with this with regards the participants specific products/service
Maximize Your Efficiency – Learning from missed sales and developing further skills to overcome this
Catch Yourself Doing it Right – You can learn from good stuff too!
Know Your Products – An in-depth look at specific products and how to educate themselves in order to maximize sales through product knowledge
Develop a Competitive Advantage – A series of questions that will put the participants one step ahead of the competition
Handle Objections – Identifying typical objections and preparing responses to them in order to practice until they are welcomed with open arms. Also includes set techniques to overcome objections
Ask for the Business – Ensuring the participants can spot buying signals and know how to respond to them in order to lead the prospect to close. Specific advice on closing questions
Follow Up After the Sale – Ensuring that the complete sales process is seamless and the participants understand their responsibilities with regard to creating an exceptional customer experience
Apply the Skills in Your Role – A session on ensuring the learning from the session is practically applied in the participant's role.
Course Feature:
At the end of this sales skills training course your participants will be able to:
Explain what sets the best salespeople apart
Follow set personal goals to sales success
Use a series of practical sales skills to increase their selling potential
Practically apply these skills to their sales role
Certification:
Once after the training you receive course completion certificate from Mangates
Who can Attend?
Anybody who is interested in learning Practical Sales Skills.

Practical Sales Skills 1 Day Workshop in Guildford

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.
 Welcome to the course where you will learn about the NumPy stack in Python, which is an important prerequisite for deep learning, machine learning, and data science.

In this self-paced course, you will learn how to use NumPy, Matplotlib, Pandas, and SciPy to perform critical tasks related to data science and machine learning. This involves performing numerical computation and representing data, visualizing data with plots, loading in, and manipulating data using DataFrames, performing statistics and probability, and building machine learning models for classification and regression.

In this course, we will first start with NumPy; we will understand the benefits of NumPy array and then we will look at some complicated matrix operations, such as products, inverses, determinants, and solving linear systems.

Then we will cover Matplotlib. In this section, we will go over some common plots, namely the line chart, scatter plot, and histogram. We will also look at how to show images using Matplotlib.

Next, we will talk about Pandas. We will look at how much easier it is to load a dataset using Pandas versus trying to do it manually. Then we will look at some data frame operations useful in machine learning, such as filtering by column, filtering by row, and the apply function.

Later, you will learn about SciPy. In this section, you will learn how to do common statistics calculations, including getting the PDF value, the CDF value, sampling from a distribution, and statistical testing.

Finally, we will also cover some basics of machine learning that will help us start our deep learning journey.

By the end of the course, we will be able to confidently use the NumPy stack in deep learning and data science.
 <h2>What You Will Learn</h2>Understand supervised machine learning with real-world examples Understand and code using the NumPy stack Make use of NumPy, SciPy, Matplotlib, and Pandas to implement numerical algorithms Understand the pros and cons of various machine learning models Get a brief introduction to the classification and regression Learn how to calculate the PDF and CDF under the normal distribution
 <h2>Audience</h2>This course is designed for anyone who is interested in data science and machine learning, who knows Python and wants to take the next step into Python libraries for data science, or who is interested in acquiring tools to implement machine learning algorithms. One must have decent Python programming skills and a basic understanding of linear algebra and probability for this course.
 <h2>Approach</h2>You will learn how to use NumPy, Matplotlib, Pandas, and SciPy to carry out crucial data science and machine learning tasks in this self-paced course. The course is well-balanced with both theoretical and practical coding exercises. Each section, we first cover the theory concept and demonstrate it using a real-world example for better understanding.
 <h2>Key Features</h2>Study basics of machine learning and understand how to use the NumPy stack for deep learning in data science * Learn how to use NumPy, Matplotlib, Pandas, and SciPy for critical tasks in data science and machine learning * Perform numerical computations, visualize data, load, and manipulate datasets using Pandas
 
 <h2>About the Author</h2><h3>Lazy Programmer</h3>The Lazy Programmer is an AI/ML engineer focusing on deep learning with experience in data science, big data engineering, and full-stack development. With a background in computer engineering and specialization in ML, he holds two master's degrees in computer engineering and statistics with finance applications. His online advertising and digital media expertise include data science and big data.

He has created DL models for prediction and has experience in recommender systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He is a web programmer with experience in Python, Ruby/Rails, PHP, and Angular.
 <h2>Course Outline</h2><h4>1. Welcome and Logistics</h4>Welcome to the course! In this section, we will get introduced to the course goals.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Introduction and OutlineIn this video, we will get introduced to the course and understand the learning objective.</td></tr></tbody></table> <h4>2. NumPy</h4>In this section of the course, we will dive into the world of NumPy, a powerful numerical computing library in Python that is widely used in data science and machine learning.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. NumPy Section IntroductionIn this video, we will have a quick overview of NumPy.</td></tr><tr><td style='padding: 15px;'>2. Arrays Versus ListsIn this video, we will be comparing NumPy array to Python list.</td></tr><tr><td style='padding: 15px;'>3. Dot ProductIn this video, we will discuss Dot Product in NumPy.</td></tr><tr><td style='padding: 15px;'>4. Speed TestIn this video, we will do a speed test to measure how much faster NumPy is than regular Python list in terms of the dot product.</td></tr><tr><td style='padding: 15px;'>5. MatricesIn this video, you will learn about matrices.</td></tr><tr><td style='padding: 15px;'>6. Solving Linear SystemsIn this video, we will work on solving an example problem to understand linear systems.</td></tr><tr><td style='padding: 15px;'>7. Generating DataIn this video, we will discuss about generatingabout how to generate data.</td></tr><tr><td style='padding: 15px;'>8. NumPy ExerciseIn this video, we will look at the NumPy exercise that must be resolved on our own.</td></tr><tr><td style='padding: 15px;'>9. Where to Learn More NumPyIn this video, we will understand why we need NumPy and how it is applied in more advanced scenarios.</td></tr></tbody></table> <h4>3. Matplotlib</h4>In this section, we will talk about Matplotlib.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Matplotlib Section IntroductionIn this video, we will have a quick overview of Matplotlib that is used to visualize data and see what we are going to cover in this section.</td></tr><tr><td style='padding: 15px;'>2. Line ChartIn this video, you will learn about a line chart.</td></tr><tr><td style='padding: 15px;'>3. ScatterplotIn this video, you will learn about a scatterplot.</td></tr><tr><td style='padding: 15px;'>4. HistogramIn this video, you will learn about a histogram.</td></tr><tr><td style='padding: 15px;'>5. Plotting ImagesIn this video, you will learn how to plot images.</td></tr><tr><td style='padding: 15px;'>6. Matplotlib ExerciseIn this video, we will have a look at the Matplotlib exercise that needs to be resolved on our own.</td></tr><tr><td style='padding: 15px;'>7. Where to Learn More MatplotlibIn this video, we will understand from where we can learn more about Matplotlib.</td></tr></tbody></table> <h4>4. Pandas</h4>In this section, we will talk about Pandas.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Pandas Section IntroductionIn this video, we will be introduced to Pandas and understand this section''s learning objective.</td></tr><tr><td style='padding: 15px;'>2. Loading in DataIn this video, you will learn how to load in data using Pandas.</td></tr><tr><td style='padding: 15px;'>3. Selecting Rows and ColumnsIn this video, you will learn how to select rows and columns from a data frame.</td></tr><tr><td style='padding: 15px;'>4. The apply() FunctionIn this video, you will learn about the apply() function.</td></tr><tr><td style='padding: 15px;'>5. Plotting with PandasIn this video, you will learn how to plot with Pandas.</td></tr><tr><td style='padding: 15px;'>6. Pandas ExerciseIn this video, we will have a look at the Pandas exercise that needs to be resolved on our own.</td></tr><tr><td style='padding: 15px;'>7. Where to Learn More PandasIn this video, we will understand from where we can learn more about Pandas.</td></tr></tbody></table> <h4>5. SciPy</h4>In this section, we will talk about SciPy.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. SciPy Section IntroductionIn this video, we will be introduced to SciPy and understand this section''s learning objective.</td></tr><tr><td style='padding: 15px;'>2. PDF and CDFIn this video, you will learn how to calculate PDF and CDF under normal distribution.</td></tr><tr><td style='padding: 15px;'>3. ConvolutionIn this video, you will learn how to apply convolution to an image to create a blurring filter.</td></tr><tr><td style='padding: 15px;'>4. SciPy ExerciseIn this video, we will have a look at the SciPy exercise that needs to be resolved on our own.</td></tr><tr><td style='padding: 15px;'>5. Where to Learn More SciPyIn this video, we will summarize what we have learnt about SciPy and understand where it can be applied.</td></tr></tbody></table> <h4>6. Machine Learning Basics</h4>In this section, we will cover machine learning basics.<table width='100%'><tbody><tr><td style='padding: 15px;'>1. Machine Learning: Section IntroductionIn this video, we will understand what machine learning is and the learning objective of this section.</td></tr><tr><td style='padding: 15px;'>2. What Is Classification?In this video, we will understand classification.</td></tr><tr><td style='padding: 15px;'>3. Classification in CodeIn this video, we will practice all that we have learnt in the previous video about classification.</td></tr><tr><td style='padding: 15px;'>4. What Is Regression?In this video, we will understand what regression is.</td></tr><tr><td style='padding: 15px;'>5. Regression in CodeIn this video, we will practice all that we have learnt in the previous video about regression.</td></tr><tr><td style='padding: 15px;'>6. What Is a Feature Vector?In this video, you will learn about a feature vector.</td></tr><tr><td style='padding: 15px;'>7. Machine Learning Is Nothing but Geometry.In this video, we will understand that machine learning is nothing but a geometry problem and see how it works for classification and regression.</td></tr><tr><td style='padding: 15px;'>8. All Data Is the SameIn this video, we will understand how all data is the same as all machine learning interfaces are the same.</td></tr><tr><td style='padding: 15px;'>9. Comparing Different Machine Learning ModelsIn this video, we will understand how all machine learning interfaces are the same.</td></tr><tr><td style='padding: 15px;'>10. Machine Learning and Deep Learning: Future TopicsIn this video, you will learn what other types of machine learning exist and some future topics that we can look forward to learning.</td></tr><tr><td style='padding: 15px;'>11. Machine Learning: Section SummaryIn this video, we will summarize our learning from this section.</td></tr></tbody></table>

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.
Welcome to the course where you will learn about the NumPy stack in Python, which is an important prerequisite for deep learning, machine learning, and data science. In this self-paced course, you will learn how to use NumPy, Matplotlib, Pandas, and SciPy to perform critical tasks related to data science and machine learning. This involves performing numerical computation and representing data, visualizing data with plots, loading in, and manipulating data using DataFrames, performing statistics and probability, and building machine learning models for classification and regression. In this course, we will first start with NumPy; we will understand the benefits of NumPy array and then we will look at some complicated matrix operations, such as products, inverses, determinants, and solving linear systems. Then we will cover Matplotlib. In this section, we will go over some common plots, namely the line chart, scatter plot, and histogram. We will also look at how to show images using Matplotlib. Next, we will talk about Pandas. We will look at how much easier it is to load a dataset using Pandas versus trying to do it manually. Then we will look at some data frame operations useful in machine learning, such as filtering by column, filtering by row, and the apply function. Later, you will learn about SciPy. In this section, you will learn how to do common statistics calculations, including getting the PDF value, the CDF value, sampling from a distribution, and statistical testing. Finally, we will also cover some basics of machine learning that will help us start our deep learning journey. By the end of the course, we will be able to confidently use the NumPy stack in deep learning and data science.
What You Will Learn
Understand supervised machine learning with real-world examples
Understand and code using the NumPy stack
Make use of NumPy, SciPy, Matplotlib, and Pandas to implement numerical algorithms
Understand the pros and cons of various machine learning models
Get a brief introduction to the classification and regression
Learn how to calculate the PDF and CDF under the normal distribution
Audience
This course is designed for anyone who is interested in data science and machine learning, who knows Python and wants to take the next step into Python libraries for data science, or who is interested in acquiring tools to implement machine learning algorithms.

One must have decent Python programming skills and a basic understanding of linear algebra and probability for this course.
Approach
You will learn how to use NumPy, Matplotlib, Pandas, and SciPy to carry out crucial data science and machine learning tasks in this self-paced course. The course is well-balanced with both theoretical and practical coding exercises. Each section, we first cover the theory concept and demonstrate it using a real-world example for better understanding.
Key Features
Study basics of machine learning and understand how to use the NumPy stack for deep learning in data science * Learn how to use NumPy, Matplotlib, Pandas, and SciPy for critical tasks in data science and machine learning * Perform numerical computations, visualize data, load, and manipulate datasets using Pandas
About the Author
Lazy Programmer
The Lazy Programmer is an AI/ML engineer focusing on deep learning with experience in data science, big data engineering, and full-stack development. With a background in computer engineering and specialization in ML, he holds two master's degrees in computer engineering and statistics with finance applications. His online advertising and digital media expertise include data science and big data. He has created DL models for prediction and has experience in recommender systems using reinforcement learning and collaborative filtering. He is a skilled instructor who has taught at universities including Columbia, NYU, Hunter College, and The New School. He is a web programmer with experience in Python, Ruby/Rails, PHP, and Angular.
Course Outline
1. Welcome and Logistics
Welcome to the course! In this section, we will get introduced to the course goals.
1. Introduction and Outline
In this video, we will get introduced to the course and understand the learning objective.
2. NumPy
In this section of the course, we will dive into the world of NumPy, a powerful numerical computing library in Python that is widely used in data science and machine learning.
1. NumPy Section Introduction
In this video, we will have a quick overview of NumPy.
2. Arrays Versus Lists
In this video, we will be comparing NumPy array to Python list.
3. Dot Product
In this video, we will discuss Dot Product in NumPy.
4. Speed Test
In this video, we will do a speed test to measure how much faster NumPy is than regular Python list in terms of the dot product.
5. Matrices
In this video, you will learn about matrices.
6. Solving Linear Systems
In this video, we will work on solving an example problem to understand linear systems.
7. Generating Data
In this video, we will discuss about generatingabout how to generate data.
8. NumPy Exercise
In this video, we will look at the NumPy exercise that must be resolved on our own.
9. Where to Learn More NumPy
In this video, we will understand why we need NumPy and how it is applied in more advanced scenarios.
3. Matplotlib
In this section, we will talk about Matplotlib.
1. Matplotlib Section Introduction
In this video, we will have a quick overview of Matplotlib that is used to visualize data and see what we are going to cover in this section.
2. Line Chart
In this video, you will learn about a line chart.
3. Scatterplot
In this video, you will learn about a scatterplot.
4. Histogram
In this video, you will learn about a histogram.
5. Plotting Images
In this video, you will learn how to plot images.
6. Matplotlib Exercise
In this video, we will have a look at the Matplotlib exercise that needs to be resolved on our own.
7. Where to Learn More Matplotlib
In this video, we will understand from where we can learn more about Matplotlib.
4. Pandas
In this section, we will talk about Pandas.
1. Pandas Section Introduction
In this video, we will be introduced to Pandas and understand this section''s learning objective.
2. Loading in Data
In this video, you will learn how to load in data using Pandas.
3. Selecting Rows and Columns
In this video, you will learn how to select rows and columns from a data frame.
4. The apply() Function
In this video, you will learn about the apply() function.
5. Plotting with Pandas
In this video, you will learn how to plot with Pandas.
6. Pandas Exercise
In this video, we will have a look at the Pandas exercise that needs to be resolved on our own.
7. Where to Learn More Pandas
In this video, we will understand from where we can learn more about Pandas.
5. SciPy
In this section, we will talk about SciPy.
1. SciPy Section Introduction
In this video, we will be introduced to SciPy and understand this section''s learning objective.
2. PDF and CDF
In this video, you will learn how to calculate PDF and CDF under normal distribution.
3. Convolution
In this video, you will learn how to apply convolution to an image to create a blurring filter.
4. SciPy Exercise
In this video, we will have a look at the SciPy exercise that needs to be resolved on our own.
5. Where to Learn More SciPy
In this video, we will summarize what we have learnt about SciPy and understand where it can be applied.
6. Machine Learning Basics
In this section, we will cover machine learning basics.
1. Machine Learning: Section Introduction
In this video, we will understand what machine learning is and the learning objective of this section.
2. What Is Classification?
In this video, we will understand classification.
3. Classification in Code
In this video, we will practice all that we have learnt in the previous video about classification.
4. What Is Regression?
In this video, we will understand what regression is.
5. Regression in Code
In this video, we will practice all that we have learnt in the previous video about regression.
6. What Is a Feature Vector?
In this video, you will learn about a feature vector.
7. Machine Learning Is Nothing but Geometry.
In this video, we will understand that machine learning is nothing but a geometry problem and see how it works for classification and regression.
8. All Data Is the Same
In this video, we will understand how all data is the same as all machine learning interfaces are the same.
9. Comparing Different Machine Learning Models
In this video, we will understand how all machine learning interfaces are the same.
10. Machine Learning and Deep Learning: Future Topics
In this video, you will learn what other types of machine learning exist and some future topics that we can look forward to learning.
11. Machine Learning: Section Summary
In this video, we will summarize our learning from this section.

Packt

Data Science

Python

Pandas

Deep Learning

This course equips learners with a comprehensive understanding of the NumPy stack, including NumPy, Matplotlib, Pandas, and SciPy, to effectively tackle common challenges in deep learning and data science. Master the basics with this carefully structured course.

Data Science Prerequisites - NumPy, Matplotlib, and Pandas in Python

General Admission

Clay Cross

What is the AM2 assessment? The AM2 assessment is an industry recognised trade test designed to evidence that candidates have gained all relevant and safety-critical competencies during their training process. It provides a single standard that has been agreed upon by employers within the electrical industry, giving a reliable and trusted guarantee of safe, high-quality skills for the electrotechnical industry. Who is this for? This is aimed at apprentices who are coming to the end of their training for the JIB apprentice training scheme and the Installation of modern apprenticeships. This course is also for experienced electricians, specifically those who are looking at taking the experienced worker route (AM2E.) There are a range of assessments for candidates based on their level: AM2 – This is for candidates undertaking the JIB mature candidate assessments and those following the level three NVQ who isn’t an apprentice. AM2S – This is for electrotechnical apprentices who are training against the apprenticeship standard AM2E – This is for experienced workers who are completing the experienced worker assessment. Please note: this can only be taken once you have gained the experienced worker qualification, proof must be provided before booking the AM2 assessment. What does this assessment consist of? Overall, the AM2 is an in-depth assessment carrying out tasks to show what you have learnt on your training. It is a practical assessment with five sections (six for AM2E and AM2S) and a short online component. Candidates will be expected to install, connect, terminate, inspect, test, commission and diagnose faults, following installation specifications provided and any relevant statutory and non-statutory regulations on: A three-phase distribution board and subcircuit A central heating/sustainable energy system Lighting and power circuits A data cabling system A safety services circuit and device Installation of containment systems (AM2E and AM2S only) Candidates will complete timed tasks in equipped areas that contain typical electrical installation wiring systems – all work must comply with BS7671 Wiring Regulations, industry best practice, and meet the requirements of relevant health and safety legislation. The assessment will be carried out in strict exam conditions across 2.5 days. Do I need an AM2 certificate to work as an electrician? Apprentices must pass their AM2 test in their final year to complete their apprenticeship. Also, if the apprenticeship standard is not being followed, an AM2 certificate and a level three NVQ is required to gain a gold card. If you are already working as an electrician, you will not need an AM2 certificate. If you are training to be an electrician and are registering for your NVQ level three in Electrical Installation or Maintenance, the electrotechnical diploma now includes the AM2. The AM2 certification is an industry recognised and something that many employers will actively seek when hiring new staff. It can also be attractive to potential customers.

Technique Learning Solutions

AM2/AM2E/AM2S Assessment

Chelmsford

Stratford

This five-day course is a must for anyone who is considering or already working in a role with site manager responsibilities. This course covers all relevant legislation affecting safe working in the building, construction, and civil engineering industries.
It is endorsed by Build UK as the standard training for all construction managers.
Aims
To give a clear understanding of health, safety, welfare, and environmental legislation that affects your management role. It highlights the need for risk assessment in the workplace, the implementation of the necessary control measures and adequate communication to sustain a health and safety culture within the workforce.
Course Content
To give a clear understanding of health, safety, welfare, and environmental legislation that affects your management role. It highlights the need for risk assessment in the workplace, the implementation of the necessary control measures and adequate communication to sustain a health and safety culture within the workforce.
Course Content
• Health, safety, welfare and environmental legislation affecting your daily work
• New guidance and industry best practice
• Duties and responsibilities with regards to health, safety, welfare, and the environment
• Safe working
Prerequisites
This course is for you if you’re considering, or already have management responsibilities for planning, organising, monitoring, controlling and administering groups of staff e.g. site manager.
Assessment
At the end of this course, all delegates will have a clear understanding of controlling health and safety on site from a manager’s role.
Certificate
The certification for this course is valid for 5 years and is endorsed by Build UK as a standard training for all site managers.
To remain certified in this area, you will need to take a refresher course before the expiry date on your certificate, otherwise the full course will need to be retaken.
Instructions
Please note all online Site Management Safety Training Scheme courses with the venue “Online” will be delivered by a tutor over a video call.
This training will be delivered and assessed in English language; therefore, a good standard is required to complete the course.
Further attendee information will be sent in a separate email, please check your inbox.

SMC Safety Solutions

Site Management Safety Training Scheme (SMSTS) 5 day course

Our Site Management Safety Training Scheme (SMSTS) refresher training courses, available both online and in-person, are designed for managers and individuals in positions of authority who completed their original SMSTS training program less than three years ago.

Aims
Participants will undertake a concise yet equally engaging training program covering all essential aspects of enforcing health and safety codes of practice at construction sites. Topics include in-depth discussions on risk assessments and effective methods for monitoring and managing industry-specific hazards.
Instructions
For online courses labeled “Remote Learning,” a tutor will deliver the training via video call.
All SMSTS courses are delivered and assessed in English. Participants must have a good command of the language to successfully complete the program.
Additional attendee information will be provided via email. Please ensure you check your inbox.


Site Management Safety Training Scheme (SMSTS) Refresher

This two-day course is a must for anyone who is considering or already working in a role with supervisory responsibilities. This course provides an understanding of health, safety, welfare, and environmental issues. It highlights legal responsibilities and the need to promote health and safety to supervise effectively.
It is endorsed by Build UK as the standard training for all supervisors working on Build UK sites.
Aims
To give a clear understanding of health, safety, welfare, and environmental legislation that affects your supervisory role. To help you fulfil your responsibilities regarding health, safety, welfare, and the environment. To help you implement new guidance and industry best practice affected by changes.
Course Content
• Health and safety law and how it will apply to supervisors.
• Your supervisory responsibilities in controlling site safety.
• Risk assessments and the need for method statements.
• Effective site inductions, toolbox talks and method statement briefings.
• Monitoring site activities effectively.
• Timely intervention when bad practice is identified.
Prerequisites
This course is for you if you are considering, or already have, supervisory responsibilities.
Assessment
At the end of this course, all delegates will have a clear understanding of controlling health and safety on site from a supervisor’s role.
Certificate
This certification for this course is valid for 5 years and is endorsed by Build UK as a standard training for all supervisors.
To remain certified in this area, you will need to take a refresher course before the expiry date on your certificate, otherwise the full course will need to be retaken.
Instructions
Please note all Site Supervisor Training courses with the venue “Remote Learning” will be delivered by a tutor over a video call.
This training will be delivered and assessed in English language; therefore, a good standard is required to complete the course.
Further attendee information will be sent in a separate email, please check your inbox

Site Supervisor Training Scheme (SSSTS) - 2 Day Course

This industrial electrical maintenance course is designed to enable candidates who have a small amount of electrical knowledge to gain recognised qualifications and skills to enable them to enter an industrial environment and work as a industrial electrician. The industrial electrical maintenance course will include a large amount of practical, enabling the candidate to install, fault find, design and wiring up control panels, using a variety of different methods. Industrial electrical maintenance course Aims The aim of the industrial electrical maintenance course is to provide solid foundations upon which the participant will be able to build and develop. Emphasis is given to providing the necessary skills, which will allow the participant to carry out routine electrical tasks. It is also made clear that a participant needs to identify and know their own limitations, allowing tasks to be carried out in a safe manner, not giving rise to danger.

TIEM 10

Scotland

We have an extensive range of PLC training courses available covering all PLC manufacturers and levels of expertise from the complete novice to the advanced. ALL of our training courses can be tailoured to your own requirements. ALL our courses will be based on the relevant software and hardware. We aim to make ALL our courses as practical as possible, leading to ‘real world’ skills and not just theoretical skills. No prior knowledge is required for this course as it starts from scratch and assumes no previous experience, you will reach the skilled level where you can look at becoming a programmer, get into engineering maintenance in an industrial environment, fault find or make amendments to programs, this is the course for you. The ‘Typical’ 5 day course usually covers 2 or 3 of the major manufacturers, Siemens S7, Allen Bradley and Mitsubishi (This can be amended to other manufacturers if you have a particular requirement). The course aims to be 90% practical, as we believe the easiest way to learn is to do it! Every student works on their own dedicated training rig and computer, enabling you to get the most from the course. A full set of course notes and a USB drive full of other manuals is provided at the end of the course. We can also cover a wide range of manufacturers including : Siemens Step 5 PLC Training (Using Step 5, Quadriga or Others) Allen Bradley PLC 3 &amp;amp; 5 Training (AB6200 Software) RSLogix 5 PLC Training SLC PLC Training (RSLogix 500) ControlLogix PLC Training (RS Logix5000) MicroLogix PLC Training (RSLogix 500) S7-200 PLC Training (Step 7 Micro) S7-300 PLC Training (Step 7 or TIA Portal) S7-400 PLC Training (Step 7 or TIA Portal) Kuhnke PLC Training (Kubes) Omron PLC Training (Syswin) Modicon PLC Training (ProWorx and Others) Mitsubishi PLC Training (Medoc, GX Developer, GPP &amp;amp; Others) Toshiba PLC Training GE Fanuc PLC Training GEM 80 PLC Training Telemecanique PLC Training Most other PLC manufacturer training undertaken. We also cover a wide range of SCADA Systems to enable engineers to modify and add to existing screens, fault find through systems, set up communications etc.

PLC 5 Day

We have an extensive range of PLC training courses available covering all PLC manufacturers and levels of expertise from the complete novice to the advanced. ALL of our training courses can be tailoured to your own requirements. ALL our courses will be based on the relevant software and hardware. We aim to make ALL our courses as practical as possible, leading to ‘real world’ skills and not just theoretical skills. No prior knowledge is required for this course as it starts from scratch and assumes no previous experience, you will reach the skilled level where you can look at becoming a programmer, get into engineering maintenance in an industrial environment, fault find or make amendments to programs, this is the course for you. The ‘Typical’ 10 day level 3 course usually covers 2 or 3 of the major manufacturers, Siemens S7, Allen Bradley and Mitsubishi (This can be amended to other manufacturers if you have a particular requirement). The course aims to be 90% practical, as we believe the easiest way to learn is to do it! Every student works on their own dedicated training rig and computer, enabling you to get the most from the course. A full set of course notes and a USB drive full of other manuals is provided at the end of the course. We can also cover a wide range of manufacturers including : Siemens Step 5 PLC Training (Using Step 5, Quadriga or Others) Allen Bradley PLC 3; 5 Training (AB6200 Software) RSLogix 5 PLC Training SLC PLC Training (RSLogix 500) ControlLogix PLC Training (RS Logix5000) MicroLogix PLC Training (RSLogix 500) S7-200 PLC Training (Step 7 Micro) S7-300 PLC Training (Step 7 or TIA Portal) S7-400 PLC Training (Step 7 or TIA Portal) Kuhnke PLC Training (Kubes) Omron PLC Training (Syswin) Modicon PLC Training (ProWorx and Others) Mitsubishi PLC Training (Medoc, GX Developer, GPP &amp;amp; Others) Toshiba PLC Training GE Fanuc PLC Training GEM 80 PLC Training Telemecanique PLC Training Most other PLC manufacturer training undertaken. We also cover a wide range of SCADA Systems to enable engineers to modify and add to existing screens, fault find through systems, set up communications etc.

PLC 10

We have an extensive range of PLC 13 training courses available covering all PLC manufacturers and levels of expertise from the complete novice to the advanced. ALL of our PLC 13 training courses can be tailored to your own requirements. ALL our PLC 13 courses will be based on the relevant software and hardware. We aim to make ALL our courses as practical as possible, leading to ‘real world’ skills and not just theoretical skills.

PLC 13

We have an extensive range of PLC 18 training courses available covering all PLC manufacturers and levels of expertise from the complete novice to the advanced. ALL of our PLC 18 training courses can be tailored to your own requirements. ALL our PLC 18 courses will be based on the relevant software and hardware. We aim to make ALL our courses as practical as possible, leading to ‘real world’ skills and not just theoretical skills.

PLC 18

We have an extensive range of PLC 15 training courses available covering all PLC manufacturers and levels of expertise from the complete novice to the advanced. ALL of our PLC 15 training courses can be tailored to your own requirements. ALL our PLC 15 courses will be based on the relevant software and hardware. We aim to make ALL our courses as practical as possible, leading to ‘real world’ skills and not just theoretical skills.

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