Get yourself trained on The Data Mining, with this Online Training The Data Mining, Analysis, and Statistics Masterclass.
Online Training The Data Mining, Analysis, and Statistics Masterclass
Do you want to build data science projects? This course is for you!Data is the future. Everyone should know how to understand, handle, and express data. Enroll in this ultimate guide and get the competitive edge in any field.Funded by a #1 Kickstarter Project by Mammoth InteractivePart 1: Python Programming FundamentalsCode in Python, a general purpose coding language used for everything like YouTube to data science.Make games with Python.Learn to visualize data directly in codeAnd more!You willlearn the basics of programming, including topics like variables, functions, and if statements. You’ll learn about data structures such as lists, dictionaries, and sets. You will be able touse ‘for’ and ‘while’ loops, how to handle user input and output, file input and output.With Mammoth Interactive you willapply your knowledge to build a fully functional tic-tac-toe game and Blackjack game.You’lllearn to useclasses, methods, attributes, instancing, and class inheritance. You will be ableto solve errors that can occur when you work as a programmer.Part 2:Data Visualization ProjectsLearn to use the Python 2D and 3Dplotting library MatplotlibApply your newPython knowledge to Matplotlib.Learn tomake line plots, scatter plots, candlestick plots.Read finance data directly from Yahoo.Customize visuals on agraphAdd text and annotate graphs.Part 3: Data Analysis Tools with pandasYou will learn how to usepandas, anopen source library with high-performance and easy-to-use data structures and data analysis tools written for Python.Create and manipulate dataframes with pandas.Apply Python to thepandas framework.Create and expand dataframes.You’ll learn how to get values from data and how to handle NaN values. You’lllearn how to read and write data from and to the comma-separated values (CSV) file format.Then we will take different approaches to analyzing data. And much more in this huge Mammoth Interactive course.Included in this course is material for beginners to get comfortable with the interfaces. Please note that we reuse this content in similar courses because it is introductory material. You can find some material in this course in the following related courses:Data Mining with Python! Real-Life Data Science ExercisesCrack Pandas and NumPy: Python Data Science Made EasyData Science & Analysis: Make DataFrames in Pandas & PythonLearn Python Data Analysis with Pandas and Make a Unity GameMake 2D & 3D Graphs in Python with Matplotlib for BeginnersPython Data Science and Machine Learning Bootcamp with KerasMaking Games in Unity and Graphs in Python using MatplotlibPart 4: Data Mining withClassifying,Plottingand Analyzing StatisticsYou will learn to create, evaluate and use data models to make predictions. Enroll now to learn data classification, visualization, plotting and statistical analysis.Learn To Build Predictive ModelsPractice for real world projects such as: learn how to find data on a house when looking to become a homeowner. You will be able to look through house data to find useful information from a text dataset.Detect outliers in univariate, multivariate and high dimensional spacesLearn how to use Apache Spark, the number one framework used for distributed processing.And many more topics explained with concrete examples.Use a practical dataset to learn data wrangling.Clean data, filter noise, andmake data available for analysis.Perform simple statistics with a range of examples.Use the K-NN classifier and SVM.You will learn association, correlation, and detecting outliers in univariate, multivariate and high dimensional spaces. You will also learn dimensionality reduction.Enroll Now for Lifetime Access
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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.