Here are 100 books that Predictive Analytics fans have personally recommended if you like
Predictive Analytics.
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I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.
What if you are faced with a problem for which a standard approach doesn’t yet exist? In such a case, you will need to be able to figure out the approach from the first principles. This book will help you learn how to derive insights starting from raw data.
'A statistical national treasure' Jeremy Vine, BBC Radio 2
'Required reading for all politicians, journalists, medics and anyone who tries to influence people (or is influenced) by statistics. A tour de force' Popular Science
Do busier hospitals have higher survival rates? How many trees are there on the planet? Why do old men have big ears? David Spiegelhalter reveals the answers to these and many other questions - questions that can only be addressed using statistical science.
Statistics has played a leading role in our scientific understanding of the world for centuries, yet we are all familiar with the way…
A moving story of love, betrayal, and the enduring power of hope in the face of darkness.
German pianist Hedda Schlagel's world collapsed when her fiancé, Fritz, vanished after being sent to an enemy alien camp in the United States during the Great War. Fifteen years later, in 1932, Hedda…
I am Wes McKinney, creator of the Python pandas project and author of Python for Data Analysis. I have been using Python for data work since 2007 and have worked extensively in the open source community to build accessible and fast data processing tools for Python programmers.
This is a super useful book published more recently that shows how to make the most of pandas’s deep toolbelt of features.
Compared with Python for Data Analysis, it explores some of the newer features added to pandas, and I think that any advanced pandas user will become more effective in their day to day work by reading it.
Best practices for manipulating data with Pandas. This book will arm you with years of knowledge and experience that are condensed into an easy to follow format. Rather than taking months reading blogs and websites and searching mailing lists and groups, this book will teach you how to write good Pandas code.
It covers:
Series manipulation
Creating columns
Summary statistics
Grouping, pivoting, and cross-tabulation
Time series data
Visualization
Chaining
Debugging code
and more...
I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.
It is not enough for a data scientist to be able to analyze data and build ML models. You have to be able to communicate the insights to decision-makers concisely and accurately. This book shows you bad and good visualizations — you’ll be surprised by how often you would have defaulted to the bad way without the guidance provided by this book!
Effective visualization is the best way to communicate information from the increasingly large and complex datasets in the natural and social sciences. But with the increasing power of visualization software today, scientists, engineers, and business analysts often have to navigate a bewildering array of visualization choices and options.
This practical book takes you through many commonly encountered visualization problems, and it provides guidelines on how to turn large datasets into clear and compelling figures. What visualization type is best for the story you want to tell? How do you make informative figures that are visually pleasing? Author Claus O. Wilke…
Sine, a professor of creative writing, accompanies Sam, a neuroscientist, on a conference trip to a Hotel Castle. Sam wants to present a new device, the "monitor." Sine hopes to recover from tending to her mother who just passed away.
When they arrive, Sine is in a dream-like state. Real…
I started my career as a research scientist building machine learning algorithms for weather forecasting. Twenty years later, I found myself at a precision agriculture startup creating models that provided guidance to farmers on when to plant, what to plant, etc. So, I am part of the movement from academia to industry. Now, at Google Cloud, my team builds cross-industry solutions and I see firsthand what our customers need in their data science teams. This set of books is what I suggest when a CTO asks how to upskill their workforce, or when a graduate student asks me how to break into the industry.
In industry, your data is very likely to live within a data warehouse such as BigQuery, Redshift, or Snowflake. Therefore, to be an effective data scientist in the industry, you should learn how to use data warehouses effectively.
Once you learn data warehousing and SQL with any one of these products, it is quite easy to pick up another. So which one do you start with?
You can use Snowflake on all three of the major public clouds. Because it’s a standalone product, it is the most similar to a “traditional” data warehouse and can be picked up easily even if you are not familiar with cloud computing. That makes it a good data warehouse to start with, and is the reason my second book pick is this book on Snowflake.
BigQuery is also available on all three major public clouds, but it works best (and is used most commonly)…
Explore the modern market of data analytics platforms and the benefits of using Snowflake computing, the data warehouse built for the cloud.
With the rise of cloud technologies, organizations prefer to deploy their analytics using cloud providers such as Amazon Web Services (AWS), Microsoft Azure, or Google Cloud Platform. Cloud vendors are offering modern data platforms for building cloud analytics solutions to collect data and consolidate into single storage solutions that provide insights for business users. The core of any analytics framework is the data warehouse, and previously customers did not have many choices of platform to use.
I'm Somi Arian, a tech philosopher, award-winning filmmaker, author, LinkedIn-Top-Voice, and the founder of InPeak, a Web3 education and professional networking platform. My background in Philosophy of Science and Technology informs my role in society as a 'Transition Architect.' My documentary, The Millennial Disruption, featuring industry leaders, won three international awards. My book, Career Fear (and how to beat it), addresses the future of work and the skills we all need to survive and thrive in the age of Artificial Intelligence and Blockchain. As a speaker, I give talks and workshops internationally on the impact of technology on society, the business landscape, the future of work, Web3, NFTs, the Metaverse, and blockchain technology.
This book is a prescient and compelling analysis of the challenges and opportunities presented by the transition from an industrial to an information-based society.
The authors, who have a track record of accurately predicting global political and economic trends, explore the shift towards a new era of individualized power, as governments lose their grip on commerce and society becomes more democratized.
They offer practical strategies for adapting financially to this new reality, emphasizing the importance of cultivating two skillsets in depth and becoming the best in your field to capitalize on the growing trend of personalized, online work.
The book covers a range of topics, including the mega political transformations in historic perspective, the sophistication of violence in the agricultural revolution, and the emergence of the cyber economy. It also delves into the impact of the information age on the global economy, government, and society, and explores the potential for…
Two renowned investment advisors and authors of the bestseller The Great Reckoning bring to light both currents of disaster and the potential for prosperity and renewal in the face of radical changes in human history as we move into the next century.
The Sovereign Individual details strategies necessary for adapting financially to the next phase of Western civilization.
Few observers of the late twentieth century have their fingers so presciently on the pulse of the global political and economic realignment ushering in the new millennium as do James Dale Davidson and Lord William Rees-Mogg. Their bold prediction of disaster on…
Since completing my PhD in political economy (dissertation: ‘International Integration and Foreign Policy Decision-making’) I have gone deeper into economic origins of change (eg. Modern Inflation, coauthored with well-known economist Wilhelm Hankel in Bologna, Italy at Johns Hopkins SAIS) and find the interactions between economic, politics, and psychology fascinating—presenting an infinite number of ‘Sherlock Holmes-like puzzles’. We are all now confronted with political, economic, and psychological uncertainties, put on high speed due to the war in Ukraine and great power tensions. So it is time to learn about the origins of our problems and their trends in order to better cope and find a basis for individual, if not collective, peace.
‘Dr. Doom’ (he prefers ‘Dr. Realist’) gives a lucid summary of major threats confronting the global economy and possible policy changes to alleviate them.
This book is well written and hits the nails all on the head with his diagnosis and possible corrective policies. HisYouTube interview on his book is brilliant, so I need not say more.
In an age of splendor, a heretic king strips Egypt bare—forcing his queen to quell rebellion and plunging his children into a conspiracy against the crown.
Salvation in the Sun follows Nefertiti as she ascends the throne beside Pharaoh Amenhotep—soon to become Akhenaten—just as he declares war on Egypt’s ancient…
I grew up listening to my grandfathers tell stories about the Great Depression (1930s). My cousins would want me to go out and play, but I wanted to stay indoors and listen to the stories. The Depression proved my grandfathers were not the best cotton farmers, but they were good storytellers, and I ended up an economics professor. Along the way, I ran across a thought from renowned British philosopher Francis Bacon: “Histories make men wise, poets, witty, mathematics, subtle;” Modern economics has gone in for subtlety, and maybe is a little too careless of wisdom. This thought sent me delving deeper into economic history, and I ended up writing five books in economics history.
This book treats a rich variety of weighty topics, global in scope. It lays bare the real insights that bubble up when economic history is subpoenaed to the bar of economic thinking. The famous British Disraeli said he only read biographies because biographies were life without theory. It helps to take a break from scholars whose thoughts are pinned down by the most recent theories. To study economics without theory, it is necessary to study economic history. Economic forecasters too often have a bias toward predicting a continuation of existing trends with small adjustments. Rostov’s long sweep of history shows that these forecasts may be overridden by long-term trends. This book contains a lot of meat—a great abundance of instructive explanations, intelligent comments, and practical conclusions.
This monumental study is an account of the world economy from the eighteenth century to the twentieth, an analysis and prescription for the future, and a challenge to the neo-Keynesian theories of income determination and growth. It is based on some forty years of research and teaching.
Originally published in 1978, the volume looks back over the nineteenth and twentieth centuries. It includes an analysis of how the world's population expanded from about 1 billion in 1800 to 4 billion in 1976, with some 6.5 billion in sight for the year 2000; an account of the expansion and distribution of…
I became an academic because I believe knowledge should serve the world. I'm driven by a commitment to responsibility, realism, and social good, even when it's uncomfortable. This list reflects my frustration with how often Western governments act confidently but without the right philosophies, systems, and knowledge in place. They lack imagination, organisation, and the ability to deal with crises, which populist movements are now exploiting. I've spent years researching failed interventions because I believe we owe it to others to do better. These books helped me understand the world more clearly, but also reminded me of our limitations and how hard it is to grasp the contexts we shape.
I’ve always known that IR theory is terrible at helping us predict anything. This book confirmed that instinct—and then gave me something better.
The book doesn't offer a grand theory of the world; it shows how careful, humble, context-driven thinking beats big ideas almost every time. I loved how it dismantled the myth of expert authority with one brutal line: "Human beings who spend their lives studying the state of the world…are poorer forecasters than dart-throwing monkeys."
It taught me to think in probabilities, to temper my overconfidence, and to focus on the details, not broad generality. In many ways, this has made me a worse “IR scholar”, but demonstrably much better at predicting events. This book is indispensable if you care about understanding policy outcomes, rather than just sounding clever. It sharpened the way I think about the future.
'A manual for thinking clearly in an uncertain world. Read it.' Daniel Kahneman, author of Thinking, Fast and Slow _________________________ What if we could improve our ability to predict the future?
Everything we do involves forecasts about how the future will unfold. Whether buying a new house or changing job, designing a new product or getting married, our decisions are governed by implicit predictions of how things are likely to turn out. The problem is, we're not very good at it.
In a landmark, twenty-year study, Wharton professor Philip Tetlock showed that the average expert was only…
I have been a financial analyst for over 30 years, including two as a fund manager specializing in currencies and commodities with a strong focus on fundamental analysis. These two markets are driven by distinct forces that must be understood to trade profitably and consistently. Ignoring these dynamics leads to pure speculation rather than a solid approach. Over time, I realized how essential it is to move beyond short-term trading and base decisions on solid fundamentals. Through Trading with David (website and YouTube channel), I share my insights and analyses, helping traders develop a deeper understanding of market dynamics and make well-founded trading choices.
I recommend this book because it provides a comprehensive and accessible guide to understanding the economic data that moves financial markets. It helps you refine your approach to fundamental analysis by teaching you how to interpret key indicators, such as the three pillars of macroeconomics: GDP, inflation, and employment data, crucial elements in Forex trading.
The author does an excellent job of explaining how these indicators impact currencies and how traders can anticipate market movements based on economic reports.
For years, investors, business strategists, and policymakers worldwide have turned to one book to help them translate the massive flow of economic data into knowledge for intelligent decision-making. The Wall Street Journal called this book "...the real deal," saying it "miraculously breathes life into economic indicators and statistics." That book is Bernie Baumohl's classic best-seller The Secrets of Economic Indicators. Now, in a brand-new Third Edition, Baumohl has thoroughly updated his classic to reflect the latest US and foreign economic indicators, and brand-new insights into what all of today's leading indicators mean. Baumohl introduces dozens of new, forward-looking economic markers,…
Born the heir of a master woodcutter in a queendom defined by guilds and matrilineal inheritance, nonbinary Sorin can’t quite seem to find their place. At seventeen, an opportunity to attend an alchemical guild fair and secure an apprenticeship with the…
I found my passion for sustainable mobility while working on my PhD thesis about electric cars at a time when no one was interested in electric cars. I am fascinated by the disruptive forces in the transportation space. With my long-term work experience in management consulting, corporate, academics, and startups, I’m trying to make a contribution to making transport carbon-free.
This book shows how the future of our planet will be decided in Asia. It teaches us that when we aim to tackle climate change with impactful measures, it is not about America or Europe but about Asia.
With its tremendous size and growth in population, Asia will be the dominant continent in the world and therefore be key to solving the climate crisis.
Five billion people, two-thirds of the world's mega-cities, one-third of the global economy, two-thirds of global economic growth, thirty of the Fortune 100, six of the ten largest banks, eight of the ten largest armies, five nuclear powers, massive technological innovation, the newest crop of top-ranked universities. Asia is also the world's most ethnically, linguistically and culturally diverse region of the planet, eluding any remotely meaningful generalization beyond the geographic label itself. Even for Asians, Asia is dizzying to navigate.
Whether you gauge by demography, geography, economy or any other metric, Asia is already the present - and it is…
