Data Science Career

Introducing Data Science & Dream Job: Unlock Your Interview Triumph, a comprehensive guide to claim your place in the data science realm. This book opens up a treasure of insights, tips and tricks guiding you through the intricacies of landing your dream job in this booming field of science. Whether you're an aspiring data scientist or an experienced professional aiming to advance your career, this book serves as your guide through the competitive terrain of data science.

Everybody says email marketing died a long time ago. Don't believe them! It's alive, kicking and still the number one way to grow your brand on the Internet. Growing a massive email list means you have a group of people who are interested in what you have to offer. Consider this audiobook as your email marketing blueprint or your one-stop marketing guide that has all the information you need to get started in the world of email marketing.

The benefits of data-driven methodologies are numerous. They allow organizations to make informed decisions based on data, which can lead to better results and increased competitiveness. Data-driven methodologies also help organizations to identify areas for improvement and make more accurate predictions about future outcomes.

If you want to build something that people love, and run it in a way that saves you time, money, and effort while increasing your team’s value and getting more satisfied customers, then keep reading....Two comprehensive manuscripts in one audiobook: Lean Six Sigma: The Ultimate Guide to Lean Six Sigma, Lean Enterprise, and Lean Manufacturing, with Tools Included for Increased Efficiency and Higher Customer Satisfaction.

Have you logged into Facebook recently? Searched for something on Google? Chosen a movie on Netflix? If so, you've probably been an unwitting participant in a variety of experiments - also known as randomized controlled trials - designed to test the impact of different online experiences. In this book, Michael Luca and Max Bazerman explain the importance of experiments for decision making in a data-driven world.

The need for precise, actionable, real-time Business Intelligence (BI) lies at the heart of the role of Big Data in modern commerce. In turn, the art of Data Science lies at the nexus of Big Data and BI, providing the essential methods by which BI can be extracted from Big Data's great black mass of constantly flowing, unstructured information. This combination has a created a new profession: an elite and specialized class of highly-compensated professionals specially skilled at data cleaning, analysis, and visualization.

Optimization is the driving principle of our modern world. We now can manufacture, transport, and organize things more cheaply and faster than ever. Optimized models underlie everything from airline schedules to dating site matches. We strive for efficiency in our daily lives, obsessed with productivity and optimal performance. How did a mathematical concept take on such outsize cultural shape? And what is lost when efficiency is gained? Optimal Illusions traces the fascinating history of optimization from its roots in America’s founding principles to its modern manifestations.

Lean Analytics is an incredibly popular framework for getting the most out of your business. Using this framework, you’ll be able to understand and master all of the data available to your business so you can build something the market truly wants.

Simply put, Dark Data is stored, largely non-inventoried, unstructured data not currently used for the purpose of conducting data science, but which is nevertheless maintained on a "just in case" basis - either to meet regulatory requirements, or in the hope that the data will prove useful for research purposes at some time in the future.

In this audiobook, you will have gain tremendous insights, understanding, and basics of Big Data and how it can helps to identify new growth areas and product opportunities, streamline their costs, increase their operating margins, and above all, make better human resource decisions using efficient budgets.

Yes, you can succeed in an AI-driven world by unleashing your potential in machine learning! A working knowledge of AI and ML is no longer a “nice-to-have” but an “essential” in today's job market. But what if you feel lost amid the tech jargon? What if terms like “algorithms”, “neural networks”, or “data preprocessing” sound like a foreign language to you?

List the hottest buzzwords in business today and "analytics" is bound to come out near the top. But to most people, analytics implies complex tools and technical experts manipulating massive amounts and varieties of information (i.e.,"Big Data"). But complex Big Data analytics isn't the only game in town. And many people don't realize that a business doesn't need data scientists and complex tools to derive useful information and valuable benefits from any amount of raw data.

This is a two-book bundle related to C++ programming and data analytics! Two manuscripts for the price of one!

El objetivo de Data Science: What the Best Data Scientists Know About Data Analytics, Data Mining, Machine Learning es ayudarle a expandir sus habilidades de ser un científico de datos básico a convertirse en un científico de datos experto listo para resolver problemas centrados en datos del mundo real. Al final de este libro, aprenderá cómo combinar Aprendizaje automático, Minería de datos, análisis y programación, y extraer conocimiento real de los datos.

Companies are collecting more data from ever. With the ease of collecting all that data, all the different sources where you can receive the data, and the inexpensive storage, it makes sense to collect as much data as possible. But without a good analysis of that data, and without some time to really figure out what trends and insights are inside all of it, that data becomes worthless. This is where predictive analytics is going to come in handy.

The future of our world is evolving towards an era where interaction with machines form the foundation of most tasks we perform. In light of this, it is important to gain actionable knowledge in machine learning technologies and skills. These skills will be useful in the near future as you maneuver through different career paths. This audiobook introduces you to vast concepts in machine learning that will be important to your career. You will have learned so much about machine learning and the respective python libraries that you will use when building models all the time.

Do you want to learn about business intelligence but don't feel like reading a boring textbook? In the modern business world, the pace of action continues to quicken. Businesses need to be able to get actionable insights from their data in order to make the right decisions to act rapidly and effectively. In this audiobook, you will be introduced to the concept of business intelligence.

This audiobook includes three manuscripts: Data Analytics, Agile Project Management, and Machine Learning. If your business is like most, it is already generating a staggering amount of data on a regular basis. Similarly, agile project management has grown in popularity over the past several years. Machine learning is also vital to the world of information technology. Now is the time! Get started on your project management journey today.

Cómo tomar decisiones estratégicas a partir de la analítica de datos. "¿Cuál es la función de los datos, entonces, y de su análisis profundo y racional antes de tomar una decisión en una empresa o en una organización?... ¿Quiénes toman las decisiones en una empresa? ¿Qué decisiones toman?", se pregunta el autor de este libro que invita a líderes de equipos de trabajo a pensar en un término muy presente hoy: la data. Y, sobre todo, qué hacer con ella.

What To Do When Machines Do Everything is a guidebook to succeeding in the next generation of the digital economy. When systems running on Artificial Intelligence can drive our cars, diagnose medical patients, and manage our finances more effectively than humans it raises profound questions on the future of work and how companies compete. Drawing upon real-world cases, data, and insight, the authors provide clear strategic guidance and actionable steps to help you and your organization move ahead in a world where exponentially developing new technologies are changing how value is created.