How Long to Read Data Science for Marketing Analytics

How Long Does it Take to Read Data Science for Marketing Analytics?

It takes the average reader 10 hours and 54 minutes to read Data Science for Marketing Analytics by Mirza Rahim Baig

Assuming a reading speed of 250 words per minute. Learn more

Description

Turbocharge your marketing plans by making the leap from simple descriptive statistics in Excel to sophisticated predictive analytics with the Python programming language Key FeaturesUse data analytics and machine learning in a sales and marketing contextGain insights from data to make better business decisionsBuild your experience and confidence with realistic hands-on practiceBook Description Unleash the power of data to reach your marketing goals with this practical guide to data science for business. This book will help you get started on your journey to becoming a master of marketing analytics with Python. You'll work with relevant datasets and build your practical skills by tackling engaging exercises and activities that simulate real-world market analysis projects. You'll learn to think like a data scientist, build your problem-solving skills, and discover how to look at data in new ways to deliver business insights and make intelligent data-driven decisions. As well as learning how to clean, explore, and visualize data, you'll implement machine learning algorithms and build models to make predictions. As you work through the book, you'll use Python tools to analyze sales, visualize advertising data, predict revenue, address customer churn, and implement customer segmentation to understand behavior. By the end of this book, you'll have the knowledge, skills, and confidence to implement data science and machine learning techniques to better understand your marketing data and improve your decision-making. What you will learnLoad, clean, and explore sales and marketing data using pandasForm and test hypotheses using real data sets and analytics toolsVisualize patterns in customer behavior using MatplotlibUse advanced machine learning models like random forest and SVMUse various unsupervised learning algorithms for customer segmentationUse supervised learning techniques for sales predictionEvaluate and compare different models to get the best outcomesOptimize models with hyperparameter tuning and SMOTEWho this book is for This marketing book is for anyone who wants to learn how to use Python for cutting-edge marketing analytics. Whether you're a developer who wants to move into marketing, or a marketing analyst who wants to learn more sophisticated tools and techniques, this book will get you on the right path. Basic prior knowledge of Python and experience working with data will help you access this book more easily.

How long is Data Science for Marketing Analytics?

Data Science for Marketing Analytics by Mirza Rahim Baig is 637 pages long, and a total of 163,709 words.

This makes it 215% the length of the average book. It also has 200% more words than the average book.

How Long Does it Take to Read Data Science for Marketing Analytics Aloud?

The average oral reading speed is 183 words per minute. This means it takes 14 hours and 54 minutes to read Data Science for Marketing Analytics aloud.

What Reading Level is Data Science for Marketing Analytics?

Data Science for Marketing Analytics is suitable for students ages 12 and up.

Note that there may be other factors that effect this rating besides length that are not factored in on this page. This may include things like complex language or sensitive topics not suitable for students of certain ages.

When deciding what to show young students always use your best judgement and consult a professional.

Where Can I Buy Data Science for Marketing Analytics?

Data Science for Marketing Analytics by Mirza Rahim Baig is sold by several retailers and bookshops. However, Read Time works with Amazon to provide an easier way to purchase books.

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