Clay Willison has narrated 45 audiobooks on Listento.it by 34 authors, with an average listener rating of 3.3★ across 8 ratings. The most-rated is Canadian Mutual Funds for Beginners.
250 Ways to Make Money Quickly
Summary
Inside you'll discover 250 proven moneymaking ideas that have been painstakingly researched and fully presented in this huge audio collection: This program is a must-not-miss opportunity for those looking to increase their bottom line or change their careers for the better!
©2014 2nd Empire Media (P)2016 2ndempiremedia.com
How to Day Trade Penny Stocks for Beginners
Summary
Are you interested in knowing what how to day trade penny stocks profitably?
Day trading penny stocks is often misconceived to be too complex for beginners and also wrought with rumors and half-truths, but did you that you can understand the market and maximize profits with penny stock day trading even if you have zero trading experience?
This book is written to help you understand what penny stocks are, how to day trade them, where to trade them, and how to avoid the pitfalls that waste the investment of many beginners. Inside, authors Bill Sykes and Timothy Gibbs reveal how anyone can day trade penny stocks with great success consistently.
Packed full of expert tools and tactics, and superior winning strategies that will help you day trade penny stocks profitably and break free from your nine-to-five, this book will arm you with a great deal of pre-trading knowledge and a unique trading psychology that will help you grow your daily market profit.
Whether your goal is to start day trading penny stocks successfully as a beginner or you simply want to understand the intricacies of trading without complex indicators or technical terms, this book is filled with detailed instructions and practical steps that will help trade like a pro.
Within this book, you’ll discover:
What penny stocks are and how they work in a way that’s easy for even a complete newbie to understand
How to start day trading penny stocks right away even if you have no previous experience of the markets
How to develop your own powerful trading strategies and minimize risk
How to spot the numerous pitfalls of penny stock trading and how to avoid them
The full potential of penny stocks and how maximize your profits consistently
And much more
If you want to quickly become super-knowledgeable about penny stocks and know how to day trade them profitably even if you have no previous experience of indicators or complex mathematics computer, then this book is for you.
©2019 Travis Simmons (P)2019 Travis Simmons
Python Data Science
Summary
If you’re tired of licensing third-party software for data analysis, Python Data Science will help you do it for yourself! Recently, more and more companies are learning that they need to make data-driven decisions. And with big data and data science on the rise, we now have more data than we know what to do with. In fact, without a doubt, you have already experienced data science in one way or another. Obviously, you are interacting with data science products every time you search for information on the web by using search engines such as Google, or asking for directions with your mobile phone. Data science is the science and technology focused on collecting raw data and processing it in an effective manner. It is the combination of concepts and methods that make it possible to give meaning and understand ability to huge volumes of data. Data science has been the force behind resolving some of our most common daily tasks for several years. In nearly all of our daily work, we directly or indirectly work on storing and exchanging data. With the rapid development of technology, the need to store data effectively is also increasing. That's why it needs to be handled properly. Basically, data science unearths the hidden insights of raw-data and uses them for productive output. Python is often used in data science today because it is a mature programming language that has excellent properties for newbie programmers. Some of the most remarkable of these properties are its easy to read code, suppression of non-mandatory delimiters, dynamic typing, and dynamic memory usage. Python is an interpreted language, and it can be executed in the Python console without any need to compile to machine language. Python Data Science teaches a complete course of data science, including key topics like data integration, data mining, python etc. We will explore NumPy for numerical data, Pandas for data analysis, IPython, Scikit-learn and Tensorflow for machine learning and business. Each of the sections in this audiobook is devoted to one of the most interesting aspects of data analysis and processing. The following are some of the major topics covered in Python Data Science: Understanding Data Science Getting Started with Python for Data Scientists Descriptive statistics Data Analysis and Libraries NumPy Arrays and Vectorized Computation Data Analysis with Pandas Data Visualization Data Mining Classifying with Scikit-learn Estimators Giving Computers the Ability to Learn from Data Training Machine Learning Algorithms The Python ecosystem for data science discussed within Python Data Science includes SciPy, NumPy, Matplotlib, Pandas, and Scikit-learn, which provides all of the data science algorithms. Data processing and analysis is one of the hottest areas of IT, where developers who can handle projects of any level, from social networks to trained systems, are constantly required. We hope this audiobook will be the starting point for your journey into the fascinating world of data science. To get started on your Python adventure, just get this audiobook now. PLEASE NOTE: When you purchase this title, the accompanying PDF will be available in your Audible Library along with the audio.
©2019 Steve Blair (P)2019 Steve Blair
Body Language
Summary
Listening to Body Language has never been easier! Get the ultimate guide to become a master in listening to body language! Imagine how different your life would be if you knew how to read the body language of your interlocutor. No more misunderstandings, no more awkward situations, no more "I don't get what you mean". You've probably listened to other books on this topic, but none of them has been able to really give you a replicable method to read body language, right? Well, this will change once you finish listening to this audiobook. You will discover the secret strategies that have helped thousands of people to become a master in reading body language! From analyzing facial expressions to understanding hand position, from reading others' emotions to deploying more empathy, everything will be clear once you go through the must-see techniques presented in this book! Now is the time to really take your social skills to the next level! Get this audiobook today and become a body language master!
©2019 Self Discovery Academy (P)2019 Self Discovery Academy
Data Science
Summary
Have you ever wondered what the fuss about data is all about? What do data scientists do? What is machine learning and artificial intelligence exactly? Are they the same? Do you love working with data? If your answer is yes, then you are in the right place. Data science helps make predictions and provides insights by using data analysis, statistics, and machine learning. A data scientist is an individual who can perform the duties of a data analyst, statistician, and a machine learning engineer. There are four main pillars of data science: domain expertise, mathematics, communication, and computer science. Once you get the hang of these four components, you will be closer to enhancing your overall understanding of data science. Are you wondering how you can do this? Well, you don't have to look any further because this book has all the answers you need. For learning data science, you will find numerous resources online, and hence it can be very overwhelming. A good way to learn data science and technology related to it regarding machine learning and artificial intelligence is to make a structure on how to go about it and learn the topics related to data science one by one. This book will provide you with all the information you need about data science and has a few tips and tricks that would make your learning easier. Throughout this book, you will learn more about: What is data science? Why learning data science in the 21st century makes sense Tools required for data science Technical and non-technical skills every data scientist must have Artificial intelligence and machine learning Using tools like Hadoop, R, Python, and SQL How to create a visualization of the data set Various cases and applications of data science Step by step examples With 19 chapters and various subsections, this book will help anyone who wants to learn about data science. You will find tips for learning prerequisites and also tips regarding the use of various tools and programming languages that are mentioned in the book. By the end of this book, you would have gathered all the necessary information that would help you to become a data scientist. The tips will be very useful to you during programming, analyzing, or visualizing data. If you are eager and want to learn more about data science, take matters into your hands, and grab your copy today!
©2020 Benjamin Smith (P)2020 Benjamin Smith