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In this post, we will explore useful learning resources related to Data Science, analytics with excel, data analytics, visual analytics, Hadoop and spark.
Skills you'll gain: Analytics with Excel, Books, Data Analysis, More..
Learn Data Science, Analytics with Excel, Hadoop and Spark, Visual Analytics and more: In the ever evolving landscape of technology, the role of data has become increasingly important. Especially from the last few years, since the introduction and growth of social media platforms. Data has been generating in huge numbers, such that it is more often referred to as “Big Data” now.
Organizations and businesses across the globe are taking the data more seriously now and harnessing it’s power of data to make informed decisions, gain a competitive edge, and drive innovation in their products and services. We can say that in today’s digital age, the importance of learning data science and analytics is huge.
Learning data science and analytics with excel is not just a career choice; it is an investment in your future success. The ability to derive meaningful insights from data is a skill that will continue to be in high demand as data keeps growing. Whether you are an experienced professional looking to upskill your career or a student exploring career paths, acquiring data science skills opens doors to a world of career and job opportunities.
Almost everyone now, is expected to have some knowledge or skills in data science, analytics with excel, analytics like collecting data, data analysis, machine learning, predictive modeling with AI algorithms, Python & R programming, statistics and more.
In this post, we will explore useful learning resources related to Data Science, analytics with excel, data analytics, hadoop and spark which suits to different level of experience covering data analysis, machine learning, AI, data analytics, Python programming language, data visualization, deep learning, hadoop, Apache spark and more.
This is the Book and eBook on learning Deep Reinforcement Learning Foundations, which provide introduction and deep learning foundation concepts. it provide learner with both theory and practical implementation. It starts from scratch and then moving on explain the deep theory of deep RL algorithms algorithms with software library SLM Lab. It gives you the details on practical implementation of deep learning in working.
This book is suitable for IT students and software engineers, who knows the basic machine learning concepts and a little knowledge of Python concepts.
Note : Please note that the link to all the books, ebooks and video courses referred in this article, are provided at the bottom of the page. Where you can access these resources with additional options.
This is the online video live lessons on theory, fundamental concepts, and techniques you need to know for becoming an efficient data scientist by Jonathan Dinu (InformIT).
This video course provide you the practical example driven lessons in Python and Python libraries like numpy, pandas, matplotlib and more. This course helps you to work on real datasets and see actual results.
This book is the complete guide for students, the graduates and experienced professionals to learn Data Science with Hadoop and Spark.
This book introduces the fundamental concepts of data science along with insights into the modern Hadoop ecosystem. It explains the evolution of Hadoop and Spark, showcasing their effectiveness in addressing data science challenges on a large scale. In addition to offering extensive coverage of applications, the authors also offer valuable guidance on essential steps like data ingestion, data munging, and data visualization.
The authors of this book concentrate on specific applications such as machine learning, predictive modeling for sentiment analysis, document analysis through clustering, anomaly detection, and natural language processing (NLP).
These video live lessons are useful for learners, who wants to learn fundamental knowledge of scalable data processing and data science techniques, integrated with Python. These skills you can use in building machine learning or artificial intelligence products or applications.
This video course provide live lessons on learning Spark, Ray, and Python for Scalable Data Science. Course instructor “Jonathan Dinu” takes you on the journey of scaling your Data Science projects by using Python, Spark, and Ray.
This book sharpens your management decisions by leveraging the full analytical capabilities of Excel!
Course instructor “Conrad Carlberg”, a seasoned business analysis expert, guides you in utilizing Excel for essential financial tasks crucial for managers and entrepreneurs. These tasks include analyzing statements, efficiently planning and controlling company finances, making sound investment decisions, and effectively managing sales and marketing.
The book is designed to help you maximize Excel tools and features in various areas, from developing business cases to conducting cash flow analysis.
You will discover clear instructions, practical real-world examples, valuable insights, step-by-step projects, and much more. It includes sample journals and ledgers to tools for business forecasting.
This book helps in mastering business modeling and data analysis techniques with MS Excel. It helps you in transforming your data into bottom-line results. It shows you to learn Excel tools and integrating data from multiple tables. It helps you in building relational data source (RDBMS) within an Excel workbook.
Data comes alive and easy to understand with visual stories or graphics or data visualization. Best data visualization tool in the market today is Tableau.
If you also want to pursue your career as a Tableau expert! This book is for you.
With this book, you will learn the art of visual analytics and data visual storytelling with Tableau. In Visual Analytics Fundamentals book, analytics professor and popular storyteller “Lindy Ryan” teaches you the concepts of visual analytics, with the perceptual concepts, and real examples on Tableau skills helpful for your career and job.
These are all for this article. We hope to have provided you with the useful resources to learn and upskill your job skills.
In addition to above learning resources, there are more books, ebooks and video courses offered by InformIT for learning Data Science, Data Visualization, Analytics with Excel, Hadoop and Spark, Data Analytics and more. These resources can surely help you in starting your progressive journey in creating or upgrading your career in the world of Data Analytics and Data Science.
👉 To access above books, ebooks and video course, in addition to more useful learning resources for learning Analytics and Data Science – Click on the link below. It will take you to the InformIT Learning resources, where you can check and consider different options and choose as per your learning need and requirement.
