With endless book recommendations and convenient pdf files available online, students attentive to detail and reliability continue the traditional habit of reading books. the same goes for books on business analysis course.
Instead of spending several hours going through numerous web pages, pick up a properly structured book written by experts in the field and master it.
You are reading: Books on business analytics
Here you’ll find a handpicked list of business analysis books chosen based on popularity, publication date, ratings, and ability to add value to your business. Written by renowned practitioners, experts, leaders, and technology professionals, the collection ranges from predictive analytics to data mining. has something to offer even the incumbent data worker.
1. Microsoft Excel Data Analysis and Business Modeling by Wayne L. winston
award winning author wayne l. Winston in his “Microsoft Excel Data Analysis and Business Modeling” explains in detail Microsoft Excel data analysis and business modeling concepts and guides how to use the newest Excel tools from scratch. This book not only goes a long way to make you an Excel expert, but also provides rich content for the practical application of technical topics such as time series forecasting and multiple regression. Packed with many practical examples, this book is what we call learn-it-yourself.
See Also: The Five Finger Rule for Reading | Scholastic | Parents
amazon: 4.5
good reads: 4.03
2. storytelling with data: a data visualization guide for business professionals by cole nussbaumer knaflic
This book provides business professionals with visualization guidance and the tools to communicate effectively with data. you’ll get pragmatic guidance on how to present data in an incomprehensible way. Packed with information, ideas, and advice, this book can help anyone learn the necessary skills. Learn how to go beyond conventional tools to deepen your understanding of your data and the underlying concept of building an informative, engaging, and compelling story.
amazon: 4.6
good reads: 4.4
3. sql in 10 minutes a day by ben forta
Data recovery is one of the basic skills that even savvy data professionals forget. a good number of data professionals find it difficult to understand. Structured Query Language (SQL) makes it easy for students by allowing them to implement just a couple of lines of code that help retrieve thousands of rows of data. this book provides syntax examples in mysq along with multiple other languages like postgresql, oracle, etc.
Get this book for an in-depth understanding of the database concept and database management. just 10 minutes of regular reading of this book can help you become an expert.
amazon: 4.6
good reads: 4.06
4. lean analytics: use data to build a better startup faster
“markets that don’t exist don’t care how smart you are”- marc andreesen.
Whether you’re an entrepreneur who aspires to create change or the founder of a new company, the biggest challenge you can face is creating something that people don’t need. you certainly don’t want to fall into the pit of ineffective ideas executed effectively. Marc Andeersen will teach you step by step how to take your startup from initial ideas to market/product friendly. Packed with practical examples, a year’s worth of interviews with over a hundred founders and investors, this book is valuable and an asset to all start-up practitioners everywhere.
amazon: 4.6
good reads: 4.12
5. predictive analytics for dummies
You don’t have to be brilliant to predict the future. all it takes is a little knowledge and skill, and predictive analytics for dummies helps you get there. With this friendly guide by your side, you’ll learn how to embed algorithms through data models, find similarities and relationships in your data, and predict the future through data classification. You will discover the core of predictive analytics and begin to use the right algorithms and tools to collect and analyze data. before long you’ll find yourself making valuable predictions for your business, or fields of advertising, politics, and fraud detection.
amazon: 4.3
good reads: 4.00
6. Naked statistics: taking the fear out of data by charles wheelan
best-selling author charles wheelan uncovers the secret and technical details that explain the underlying intuition that drives statistical analysis.
“[wheelan] does something unique here: he makes stats interesting and fun. her book strips the subject of its complexity to expose the sexy that lies beneath.”
– the economist
This book will give you great insight into the key topics of description, inference, probability, and regression.
“how do you find out that schools are cheating on standardized tests?” how does netflix know what movies you’ll like? read the books to get the answers.
amazon: 4.6
good reads: 3.94
7. predictive analytics: the power to predict who will click, buy, lie or die
How does predictive analytics work? Eric Siegel, former Columbia University professor and founder of the world of predictive analytics, reveals the power and threat of prediction in his masterpiece “Predictive Analytics.” Replete with a luminous and eye-catching introduction, this book demystifies the science under the hood. Beginners and experts alike can choose this for a solid foundation covering new case studies and the latest cutting edge techniques.
amazon: 4.3
good reads: 3.67
8. business analysis: data analysis & decision making
business analytics: data analysis & Decision Maker with its student-friendly writing style, learn-by-example approach, and full Excel 2016 integration can help you accelerate your progress and become a master of data analysis. has three online chapters for advanced statistical analysis with tools to master data analysis, modeling, and learning the use of spreadsheets. This book is data-driven with a new chapter on two main Power BI tools in Excel, Power Query and Power Pivot, and a section covering data visualization with Tableau Public.
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select this book to study data mining, importing data into excel, tools commonly under the umbrella of business analysis with updated case studies and practical examples along with a companion website including data files and solutions , which can be solved for sensitivity analysis. , powerpoint slides and palisade decision toolset.
amazon: 4.00
good reads: 3.7
9. data strategy: how to capitalize on a world of big data, analytics, and the internet of things by bernard marr
bernard marr’s data strategy is a must-have for anyone looking to create a solid data strategy. This book explains how to understand your strategic data needs, what methods to use to collect data, and most importantly, how to translate your data into organizational insights to improve decision-making and business performance. this is a must-read book for anyone who intends to harness the value of business data and increase competitive advantage.
Business enthusiasts pick up this book to learn the tools and strategies needed to capitalize on big data, analytics, and the Internet of Things.
amazon review: 4.2
good reads: 3.8
10. practical box: 100 tips, tutorials and strategies from a ryan sleeper box
tableau is the most widely used dashboard and visualization tool in the industry. The importance of the chart is further confirmed by Gartner’s Magic Quadrant for Long-Term Leadership Position. Ryan Sleeper is a professional cadre consultant and has filled the book with his rich experience with an easy to understand approach.
the book has 5 parts: basics, framework, chart types, tips and tricks, and narration. each section is supported with an illustrative explanation of the concepts with examples.
pick up this book if you want answers to questions like-
1. why are we creating this chart?
2. how to create the chart?
3. How to create with visualization?
See Also: The Five Finger Rule for Reading | Scholastic | Parents
amazon: 4.5
good reads: 4.28
11. python for data analysis: data wrangling with pandas, numpy, and ipython by wes mckinney
wondering how to manipulate the data you have? Do you want to explore in depth the relationship between variables, identify and change the different types of data? these tasks can be easily accomplished with the simple use of python code. Business analytics professionals use Python to perform descriptive analysis and adopt explanatory data analysis to find patterns, trends, and the relationship between multiple variables to gain insights and make better business decisions.
choose this book if you want to learn about numpy, matplotlib, statsmodel, pandas, scikit-learn.
amazon: 4.6
good reads: 4.14
12. the pyramid principle: logic in writing and thinking by barbara minto
the principle of barbara minto’s pyramid is revealing. This book is lucid, illustrative when it comes to elucidating the communication and structured thinking of people of any career. it is used in many universities and by companies like delloite, ey, etc. to train them to communicate effectively.
even after more than 25 years of its publication, it is still a highly recommended book for learning to write technical and persuasive papers in any language. if you have a book to learn how to present an idea, then this is it. it also helps keep your presentation short, understandable, and impactful.
See Also: The Five Finger Rule for Reading | Scholastic | Parents
amazon: 4.5
good reads: 4.04
13. data analysis: the definitive guide to data analysis
Data Analytics, another best-selling book that offers an insightful view of how to use data to improve competition, accelerate growth, and increase sales. Learn the skill to harness the power of data in your business, work, and school. Best-selling author Edward Mire presents a perfect beginner’s guide to data analysis. Known for his ability to break down difficult topics into easy to understand words, he will have no trouble grasping concepts. The book is a compilation of the most practical data analysis that will allow you to understand the methodologies to quickly and easily correct the holes in your execution in operations, sales and marketing.
amazon: 3.6
good reads: 2.76
14. data analytics: become a data analytics master
“Analyzing data is not easy, due to the fact that you have to figure out what type of data analysis you are going to use, as well as overcome the challenges you will face when it comes to analyzing data. With this book, our goal is to show you the easiest way to work with data analytics and how you’ll avoid some of the challenges and risks you’ll face when working with data. You will realize that analyzing data is not the easiest thing in the world. however, it will get easier the more you practice. just make sure you’re taking the time to practice and don’t put too much pressure on yourself.”
amazon: 3.5
good reads: 2.84
15. data science for business: what you need to know about data mining and data analytics thinking
Data Science for Business presents examples of real-world business problems to illustrate principles based on an MBA course taught at New York University for over ten years. Learn how to improve communication between business stakeholders and data scientists and get involved in company data science projects.
Get this book to learn how to think analytically about data and how data science supports business decision making.
See Also: The Five Finger Rule for Reading | Scholastic | Parents
amazon: 4.5
good reads: 4.15
Before diving into any of these books, let’s first understand some of the important questions related to business analysis.
what is business analytics?
business analysis is a process by which companies use methodological and statistical analysis to perform and transform data into useful information and knowledge to make better business decisions. this helps to retrieve historical data to analyze results, anticipate trends and eventually make appropriate trading decisions. The main components of the business analytics dashboard consist of data aggregation, data extraction, sequence association and identification, text extraction, forecasting, predictive analytics, optimization, and data visualization.
what is the importance of business analytics?
business analytics helps businesses discover how businesses vary using the latest marketing strategies. it also evaluates past marketing strategies that help address challenges and increase productivity and sales.
so learning data analytics and learning it well will help you make better business decisions to foster rapid progress and market recognition.
Benefits of business analytics-
1. improve customer service
2. make informed decisions
3. reduce employee sales
4. performance improvement
5. identification of fraud in financial businesses.
where can we learn business analysis?
With the outbreak of the covid-19 pandemic, online education has become the only source of educational hope for students. Online education providers have made it easy for students to sign up for any course they want. In addition to books, you can always start by taking a professional course trained by experts. Business Analysis with R course by Henry Harvin is one of the best online courses to start your business analysis journey.
Look at some of the benefits you receive when you sign up with Henry Harvin:
1. live projects
2. guaranteed internship
3. weekly job support
4. recorded videos
5. monthly review sessions
6. interview skills
7. professional services
get a 1-year membership of the henry harvin® finance academy to take advantage of the above benefits. visit the site for more details.
what makes reading about a specialized topic so important?
Reading books on the specialized field plays an important role in enhancing your ability to add value to your work. When the internet can provide you with a ton of productive information, what really matters is how much information and what available tools need to be adopted and executed to enhance learning and build a successful career. in this case, only a well-researched book can help.
The books are backed by information from professionals in the field. Developing the ability to skillfully grasp and execute an idea in a real life situation makes a book truly valuable and thought provoking to read. so make sure you do proper research on the writer and the topics covered before buying a book. this will give you a good idea of what is in store for you. good research goes a long way and saves a lot of time when learning all the important skills needed to master your field.
how to select the right book?
To select the correct book for your field, follow the points below:
1. do some research on the writer
2. research well on the subject.
3. go through the review.
4. read the blurbs for all possible books of interest.
5. ask an expert in the field.
see also review by henry harvin:
conclusion:
The list of books given above is not in order of priority. Please read the list carefully and choose the best one that suits your demand. business analytics is a demanding career and you can start it with a good book in hand and a professional course to train you.
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