Get yourself trained on Data Analysis with with this Online Training Data Analysis with Pandas: 2-in-1.
Online Training Data Analysis with Pandas: 2-in-1
Pandas is a popular Open Source Python package that provides fast, high performance data structures for performing efficient data manipulation and analysis. It has quickly emerged as a popular choice of tool for analysts to solve real-world analytical problems. The Pandas library is massive, and it’s common for frequent users to be unaware of many of its more impressive features. This comprehensive 2-in-1 course is a step-by-step, a highly practical course showing you the whys and hows of applying Pandas for your data analysis tasks. Solve most complex scientific computing problems with ease using the power of Pandas. Manipulate, analyze and visualize your data using the popular Pandas library. Enhance your data exploration and machine learning skills by gaining surprising insights from Pandas and using expert tips and tricks. This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible. The first course, Modeling and Visualization of Data in Pandas, will support you as you work through a typical real-world data analysis project step-by-step using Pandas. It develops the deep knowledge and skills that will enable you to immediately tackle your own projects with Pandas at work. It also demonstrates how to make financial models using Python’s software library for data manipulation and analysis. The second course, Mastering Python Data Analysis with Pandas, starts off with covering the basics of Pandas which includes data structures and various data manipulation tasks such as grouping, merging, and reshaping data. You will then learn how to manipulate, analyze, and visualize your time-series financial data. You will also learn how to apply Pandas to important but simple financial tasks such as modeling portfolios, calculating optimal portfolios based upon risk, and more. This course not only teaches you why Pandas is a great tool for solving real-world problems in quantitative finance, but it also takes you meticulously through every step of the way, with practical, real-world examples, especially from the financial domain where Pandas is a popular choice. By the end of the course, youll get insights and solutions to common data problems while working on real-world datasets using Pandas library. Meet Your Expert(s): We have the best work of the following esteemed author(s) to ensure that your learning journey is smooth:Prabhat Ranjan has extensive industry experience in Python, R, and machine learning. He has a passion for using Python, Pandas and R for various real-time, new-project scenarios. As a trainer, he also has a passion for teaching concepts and advanced scenarios in Python, R, Data Science, and Big Data Hadoop. Thus, his teaching experience and strong industry exposure make him one of the best in this domain.
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As a society, we spend hundreds of billions of dollars measuring the return on our financial assets. Yet, at the same time, we still haven’t found convincing ways of measuring the return on our investments in developing people.
And I get it: If my bank account pays me 1% a year, I can measure it to the penny. We’ve been collectively trained to expect neat and precise ROI calculations on everything, so when it’s applied to something as seemingly squishy as how effectively people are learning in the workplace, the natural inclination is to throw up our hands and say it can’t be done. But we need to figure this out. In a world where skills beat capital, the winners and losers of the next 30 years will be determined by their ability to attract and develop great talent.
Fortunately, corporate learning & development (L&D), like most business functions, is evolving quickly. We can embrace some level of ambiguity and have rigor when measuring the ROI of learning. It just might look a little different than an M.B.A. would expect to see in an Excel model.