You Can Become a Motivational Speaker

About this Course

Motivational Speaking: You Can Become a Motivational Speaker

Imagine yourself speaking on the stage in front of hundreds or thousands of people. Your words are inspiring and motivating your audience to make changes and take positive actions. You can lead from the platform!

moti

How to Be a Motivational Speaker

In this “How to be a Motivational Speaker” course you will learn the fundamentals of how to structure a motivational speech and how to run a motivational speaking business. Everyone has a story to their life, but not everyone has a story that is interesting enough or compelling enough to motivate other people from the platform. This course will guide you through the process of positioning yourself, crafting your speech, improving your platform skills and building a motivational speaking business.

TJ Walker is a coach and trainer to motivational speakers around the globe. Additionally, he gives motivational speeches worldwide on the power of personal expression.

Why wait even one more day before you can start sharing your message with others? Sign up today for this course today.

There is a 100% Money-Back Guarantee for this course. And the instructor also provides an enhanced guarantee..

Who is the target audience?

  • This course is for aspiring motivational speakers
Basic knowledge
  • You will need to video record and review your speeches using a cell phone, tablet or webcam
What you will learn
  • Motivate speaking audiences
  • Develop a keynote speech
  • Create a motivational speaking business model

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Cyber Security : Hackers Exposed

About this Course

This course covers the fundamental building blocks of your required skillset – You will understand the threat and vulnerability landscape through threat modelling and the risk assessment.

We explore the Darknet and mind-set of the cyber criminal. Covering malware, exploit kits, phishing, zero day vulnerabilities and much more.

cyborg holding two energy charges

You will learn about the global tracking and hacking infrastructures that nation states run. Covering the NSA, FBI, CIA, GCHQ, China’s MSS and other intelligence agencies capabilities.

You will understand the foundations of operating system security and privacy functionality. A close look at the new Windows 10 privacy issues and how to best mitigate them.

There is a complete easy to follow crash course on encryption, how encryption can be bypassed and what you can do to mitigate the risks.

Master defences against phishing, SMShing, vishing, identity theft, scam, cons an other social engineering threats.

Ethical hacking most advanced

Finally we cover the extremely important, but underused security control of isolation and compartmentalization. Covering sandboxes, application isolation, virtual machines, Whonix and Qubes OS.

This is volume 1 of 4 of your complete guide to cyber security privacy and anonymity.

Basic knowledge
  • A basic understanding of using operating systems, networks, and the Internet . Be able to download and install software. A willingness to learn.
  • Please note this is Volume 1 of 4 of the complete course. After the completion of all 4 volumes, you will know more than 80% of security professionals , government and law enforcement agents and even expert hackers about maintaining security, privacy, and anonymity.
What you will learn
  • An advanced practical skillset in defeating all online threats – advanced hackers, trackers, malware and all Internet nastiness including mitigating government spying and mass surveillance
  • The very latest up-to-date information and methods
  • We cover operating system security, privacy, and patching – On Windows 7, Windows 8, Windows 10, MacOS and Linux
  • Explore the threat landscape – Darknets, dark markets, zero day vulnerabilities, exploit kits, malware, phishing and much more
  • You will master encryption in an easy to follow crash course
  • Go in-depth into security through physical and virtual isolation and compartmentalization Covering sandboxes, application isolation, virtual machines, Whonix and Qubes OS
  • You will learn about nation state secret tracking and hacking infrastructure

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Machine Learning, NLP & Python-Cut to the Chase

About this Course

Prerequisites: No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided.

Taught by a Stanford-educated, ex-Googler and an IIT, IIM – educated ex-Flipkart lead analyst. This team has decades of practical experience in quant trading, analytics and e-commerce.

Guide to Python Programming Language

This course is a down-to-earth, shy but confident take on machine learning techniques that you can put to work today

Let’s parse that.

The course is down-to-earth : it makes everything as simple as possible – but not simpler

The course is shy but confident : It is authoritative, drawn from decades of practical experience -but shies away from needlessly complicating stuff.

You can put ML to work today : If Machine Learning is a car, this car will have you driving today. It won’t tell you what the carburetor is.

The course is very visual : most of the techniques are explained with the help of animations to help you understand better.

This course is practical as well : There are hundreds of lines of source code with comments that can be used directly to implement natural language processing and machine learning for text summarization, text classification in Python.

The course is also quirky. The examples are irreverent. Lots of little touches: repetition, zooming out so we remember the big picture, active learning with plenty of quizzes. There’s also a peppy soundtrack, and art – all shown by studies to improve cognition and recall.

What’s Covered:

Machine Learning:

  • Supervised/Unsupervised learning, Classification, Clustering, Association Detection, Anomaly Detection, Dimensionality Reduction, Regression.
  • Naive Bayes, K-nearest neighbours, Support Vector Machines, Artificial Neural Networks, K-means, Hierarchical clustering, Principal Components Analysis, Linear regression, Logistics regression, Random variables, Bayes theorem, Bias-variance tradeoff

Python GUI Programming Projects using Tkinter and Python 3

Natural Language Processing with Python:

  • Corpora, stopwords, sentence and word parsing, auto-summarization, sentiment analysis (as a special case of classification), TF-IDF, Document Distance, Text summarization, Text classification with Naive Bayes and K-Nearest Neighbours and Clustering with K-Means

Sentiment Analysis:

  • Why it’s useful, Approaches to solving – Rule-Based , ML-Based , Training , Feature Extraction, Sentiment Lexicons, Regular Expressions, Twitter API, Sentiment Analysis of Tweets with Python

Mitigating Overfitting with Ensemble Learning:

  • Decision trees and decision tree learning, Overfitting in decision trees, Techniques to mitigate overfitting (cross validation, regularization), Ensemble learning and Random forests
  • Recommendations: Content based filtering, Collaborative filtering and Association Rules learning
  • Get started with Deep learning: Apply Multi-layer perceptrons to the MNIST Digit recognition problem
  • A Note on Python: The code-alongs in this class all use Python 2.7. Source code (with copious amounts of comments) is attached as a resource with all the code-alongs. The source code has been provided for both Python 2 and Python 3 wherever possible

Who is the target audience?

  • Yep! Analytics professionals, modelers, big data professionals who haven’t had exposure to machine learning
  • Yep! Engineers who want to understand or learn machine learning and apply it to problems they are solving
  • Yep! Product managers who want to have intelligent conversations with data scientists and engineers about machine learning
  • Yep! Tech executives and investors who are interested in big data, machine learning or natural language processing
  • Yep! MBA graduates or business professionals who are looking to move to a heavily quantitative role
Basic knowledge
  • No prerequisites, knowledge of some undergraduate level mathematics would help but is not mandatory. Working knowledge of Python would be helpful if you want to run the source code that is provided
What you will learn
  • Identify situations that call for the use of Machine Learning
  • Understand which type of Machine learning problem you are solving and choose the appropriate solution
  • Use Machine Learning and Natural Language processing to solve problems like text classification, text summarization in Python

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CompTIA Security+ Certification (SY0-401)

Welcome to the CompTIA Security+ Certification; SY0-401. The Total Course from Mike Meyers and Total Seminars.

This course covers everything you need to know to pass your CompTIA Security+ Certification SY0-401 Exam. The first goal of the course is to make you a good IT security tech and in the process make sure you are ready to pass the CompTIA Security+ exam. This course is over 10 hours in length containing over 80 video lectures.

CompTIA

The course covers all the CompTIA Security+ SY0-401 Objective Domains:

  • Network Security: 20%
  • Compliance and Operational Security: 18%
  • Threats and Vulnerabilities: 20%
  • Application, Data and Host Security: 15%
  • Access Control and Identity Management: 15%
  • Cryptography: 12%

Topics include:

  • Risk management
  • Cryptography
  • Authentication and authorization
  • Host, LAN, and application security
  • Wireless, cloud and mobile security
  • Environmental and personnel security and controls

This is a Total Security+ Course, it covers everything a good tech needs to know and prepares you to pass the CompTIA Security+ Certification exam.

Who is the target audience?

  • This course is intended for anyone that is preparing for an IT Security position or looking to improve their security skills and become CompTIA Security+ Certified. However, it goes beyond that and will give you the skills you need to be a better security tech on the job
Basic knowledge
  • Basic familiarity with PCs and networks
  • There are no specific prerequisites as the course covers all the topics in detail
  • It is a good idea to have an understanding of CompTIA A+ and Network+ or to be certified in these topics. You can learn more about these certifications from our Mike Meyers – Total Seminars CompTIA A+ and Network+ Certification courses on Simpliv
What you will learn
  • This is a complete and comprehensive CompTIA Security+ Certification; SY0-401 course. It is designed to prepare the student to be able to take and pass the exam to become CompTIA Security+ Certified
  • Once you complete the course you will have the knowledge and confidence to pass the CompTIA exam AND the skills to be a great IT security tech. This course is ideal as both a study tool and an on-the-job reference
  • Your new skills and the CompTIA Security+ Certification will help you land a great It security tech job or if you are already a security tech, get that raise or advancement you are after.

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Self Love and Self Confidence

Want more confidence in life to be able to do the things that you always dreamed of doing?

What about being at peace within yourself and truly accepting you for being you?

Want to silence the inner critic that puts you down and makes you feel as though you are not enough?

digital marketing stratergy with xink

With the techniques and lessons in this course you can achieve all of this and much more! You will learn quick and easy ways to pull yourself out of a rut, different ways of thinking about things and proven techniques that will change your life and put you more at ease!

Starting with easy things that you can do each and everyday, to downloadable hypnosis sessions that you can listen to at ease for a lifetime to create lasting change.

This course is broken down into easy to follow chucks for each batch of lessons, so that you can do them at your leisure.

By the end of the course you will be able to live more contently and with the confidence to be able to do just about anything you desire in life!

Basic knowledge
  • None what so ever, just a keen interest in self development and improving your life
What you will learn
  • Simple easy techniques that will help you to shift your mindset and allow you to live with more ease and confidence. You will learn what programs are running in the background of your life that are holding you back, and how to erase them for good

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Positive Mental Health

This e-learning course on Positive Mental Health, developed and presented by Carolyn Barber, offers a foundation for understanding the various components of mental health and well-being. It will be of value to professionals in the caring professions as well as to informal carers supporting people with mental health problems and, indeed, for individuals wanting to make a positive contribution to their own mental health. It is the equivalent of a full-day’s continuous professional development, but constructed in such a way as to enable flexible study to suit your own schedule.

Positive Mental Health

It is based on a 5Cs model of mental health based on five key elements:

  • Challenge
  • Character
  • Composure
  • Connection
  • Creativity

The course explores each of these in turn, offering first an overview of the important role of the element concerned, then a review of what light research and theory cast on it, a consideration of different approaches to addressing the important issues involved and, finally, additional information about particular tools or methods that can prove helpful in promoting positive mental health.

In today’s pressurised and fast-moving world many people are experiencing difficulties in maintaining good mental health. So, whether you are looking towards improving your own mental health or you work in a setting where supporting others to meet their mental health needs, this course will will give you a firm foundation on which to build.

Written and presented by a highly experienced expert in the mental health field, this course offers an excellent basis for learning how to rise to the many mental health challenges we face.

Who is the target audience?

  • Members of the caring professions involved in promoting good mental health
  • Managers and human resource professionals committed to good mental health in the worlplace
  • Members of the general public interested in improving their own mental health or that of friends, relatives or colleagues
Basic knowledge
  • There are no specific requirements for this course except an interest in, and a commitment to, promoting positive mental health
What you will learn
  • Develop a broader perspective on the research and theory around what contributes to good mental health;
  • Identify specific methods which can be applied in direct work to support people experiencing poor mental health and mental ill-health.
  • Explore self-care in relation to good mental health, well-being and resilience.

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Machine Learning with Java and Weka

About this Course

This is the bite size course to learn Java Programming for Machine Learning and Statistical Learning with Weka library. In CRISP DM data mining process, machine learning is at the modeling and evaluation stage.

Talend Data Integration Basics to advanced

You will need to know some Java programming, and you can learn Java programming from my “Create Your Calculator: Learn Java Programming Basics Fast” course. You will learn Java Programming for machine learning and you will be able to train your own prediction models with naive bayes, decision tree, knn, neural network, linear regression, and evaluate your models very soon after learning the course.

Basic knowledge
  • Computer Knowledge
  • Basic coding knowledge
What you will learn

Content

  • Introduction
  • Getting Started
  • Getting Started 2
  • Getting Started 3
  • Data Mining Process
  • Data set
  • Split Training and Testing dataset
  • CReate Java Application using Netbeans with Weka Jar
  • Simple Linear Regression
  • LInear Regression using Weka and Java
  • LInear Regression using Weka and Java 2
  • LInear Regression using Weka and Java 3
  • KMeans Clustering
  • KMeans Clustering in Weka and Java
  • Agglomeration Clustering
  • Agglomeration Clustering in Weka and Java
  • Decision Tree ID3 ALgorithm
  • Decision Tree in Weka and Java
  • KNN Classification
  • KNN in Weka and Java
  • Naive Bayes Classification
  • Naive Bayes in Weka and Java
  • Neural Network Classification
  • Neural Network in Weka and Java
  • What Algorithm to Use?
  • Model Evaluation
  • Model Evaluation in Weka and Java
  • CReate a Data Mining Software
  • CReate a Data Mining Software 2

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