5 Free eBooks On Big Data And Business Intelligence

These ebooks on big data and business intelligence can enhance your professional skills and knowledge of the industry. The best part? They're free.

September 13, 2018
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If you’re looking to learn more about big data and business intelligence, there are ways to increase your skills for free. Whether you’re a beginner or advanced, one of the free ebooks below can be a great resource.

1. Learning IPython for Interactive Computing and Data Visualization – Second Edition by Cyrille Rossant

What you will learn:
• Install Anaconda and code in Python in the Jupyter Notebook
• Load and explore datasets interactively
• Perform complex data manipulations effectively with pandas
• Create engaging data visualizations with matplotlib and seaborn
• Simulate mathematical models with NumPy
• Visualize and process images interactively in the Jupyter Notebook with scikit-image
• Accelerate your code with Numba, Cython, and IPython.parallel
• Extend the Notebook interface with HTML, JavaScript, and D3

Click here to get the eBook.

Author – Cyrille Rossant
• Cyrille Rossant, PhD, is a neuroscience researcher and software engineer at University College, London
• He is a graduate of École Normale Supérieure, Paris, where he studied mathematics and computer science
• While working on data science and software engineering projects, he gained experience in numerical computing, parallel computing, and high-performance data visualization

2. Practical Data Analysis – Second Edition by Hector Cuesta, Dr. Sampath Kumar

What you will learn:
• Acquire, format, and visualize your data
• Build an image-similarity search engine
• Generate meaningful visualizations anyone can understand
• Get started with analyzing social network graphs
• Find out how to implement sentiment text analysis
• Install data analysis tools such as Pandas, MongoDB, and Apache Spark
• Get to grips with Apache Spark
• Implement machine learning algorithms such as classification or forecasting

Click here to get the eBook.

Author – Hector Cuesta
• Hector Cuesta is founder and Chief Data Scientist at Dataxios, a machine intelligence research company. Holds a BA in Informatics and a M.Sc. in Computer Science
• He provides consulting services for data-driven product design with experience in a variety of industries including financial services, retail, fintech, e-learning and Human Resources

Author – Dr. Sampath Kumar
• Dr. Sampath Kumar works as an assistant professor and head of Department of Applied Statistics at Telangana University. He has completed M.Sc., M.Phl., and Ph. D. in statistics
• His expertise is in statistical data analysis using SPSS, SAS, R, Minitab, MATLAB, and so on
• He is an advanced programmer in SAS and matlab software

3. Getting Started with TensorFlow by Giancarlo Zaccone

What you will learn:
• Start off by understanding the fundamentals of Go, followed by a detailed description of the Go data types, program structures and Maps
• Learn how to use Go concurrency idioms to avoid pitfalls and create programs that are exact in expected behavior
• Get to grips with the tools and libraries that are available in Go for writing and exercising tests, benchmarking, and code coverage
• Install and adopt TensorFlow in your Python environment to solve mathematical problems, get to know basic machine and deep learning concepts

Click here to get the eBook.

Author – Giancarlo Zaccone
• Giancarlo is a senior software and system engineer, where he tests and develops software systems for space and defense applications
• Giancarlo is the author of the following books: Python Parallel Programminng Cookbook, Getting Started with TensorFlow, Deep Learning with TensorFlow, all by Packt Publishing

4. R Deep Learning Essentials by Dr Joshua F. Wiley

What you will learn:
• Set up the R package H2O to train deep learning models
• Understand the core concepts behind deep learning models
• Use Autoencoders to identify anomalous data or outliers
• Predict or classify data automatically using deep neural networks
• Build generalizable models using regularization to avoid overfitting the training data

Click here to get the eBook.

Author – Dr Joshua F. Wiley
• Dr. Joshua F. Wiley is a lecturer at Monash University and a senior partner at Elkhart Group Limited, a statistical consultancy
• He develops or codevelops a number of R packages including varian, a package to conduct Bayesian scale-location structural equation models, and MplusAutomation, a popular package that links R to the commercial Mplus software

5. Odoo Development Essentials by Daniel Reis

What You Will learn :
• Install Odoo from source code and use all the basic techniques to setup and manage your Odoo server instances
• Create your first Odoo application
• Add Odoo’s social and messaging features to your own modules
• Get to know the essentials of Models and Views
• Understand and use the server API to add business logic
• Use Qweb to create custom Reports
• Extend Odoo CMS features to create your own website controllers and pages
• Leverage Odoo Workflows on your applications
• Write module automated tests and debugging techniques
• Deploy your Odoo applications for production use

Click here to get the eBook.

Author – Daniel Reis
• Daniel Reis has had a long career in the IT industry, mostly as a consultant implementing business applications in variety of sectors, and today works for Securitas, a multinational security services provider
• He has been working with Odoo (formerly OpenERP) since 2010, is an active contributor to the Odoo Community Association projects