Get yourself trained on Python Data Analytics: with this Online Training Python Data Analytics: With Pandas and NumPy.
Online Training Python Data Analytics: With Pandas and NumPy
Welcome to ” Python Data Analytics: With Pandas and NumPy “Learn how to analyze data using Python. This coursewill take you from the basics of Python to exploring many different types of data. You will learn how to prepare data for analysis, perform simple statistical analyses, create meaningful data visualizations, predict future trends from data, and more!You will learn how to:Import data setsClean and prepare data for analysisManipulate pandas DataFrameSummarize dataBuild machine learning models using scikit-learnBuild data pipelinesPosing a questionWrangling your data into a format you can use and fixing any problems with itExploring the data, finding patterns in it, and building your intuition about itDrawing conclusions and/or making predictionsCommunicating your findingsData Analysis with Python is delivered through lecture, hands-on labs, and assignments. It includes following parts:Data Analysis libraries:will learn to use Pandas DataFrames, Numpy multi-dimentional arrays, and SciPy libraries to work with a various datasets.We will introduce you to pandas, an open-source library, and we will use it to load, manipulate, analyze, and visualize cool datasets. Then we will introduce you to another open-source library, scikit-learn, and we will use some of its machine learning algorithms to build smart models and make cool predictionsCOURSE SYLLABUSModule 1 -Installation Lecture 1: Installing the Anaconda Python distributionLecture 2:Writing and running Python in the iPython notebookModule 2 -Refresher Data Containers in Python Lecture 3:Python containers overviewLecture 4:Using Python lists and the slicing syntaxLecture 5:Using Python dictionariesLecture 6:ComprehensiveModule – 3Word Anagrams in Python Lecture 7:Word anagram overviewLecture 8:Loading the dictionaryLecture 9:Finding anagramsLecture 10:ChallengeLecture 11:SolutionModule – 4Introduction to NumPy Lecture 12:NumPy overviewLecture 13:Creating Numpy ArraysLecture 14:Doing math with arraysLecture 15:Indexing and slicingLecture 16:Records and dates Module – 5Weather Data with NumPy Lecture 17:Weather data overviewLecture 18:Downloading and parsing data filesLecture 19:Temperature analysisLecture 20:Integrating missing dataLecture 21:Smoothing dataLecture 22:Computing daily recordsLecture 23:ChallengeLecture 24:weather data SolutionModule – 6Introduction to PandasLecture 25:Pandas overviewLecture 26:Series in PandasLecture 27:DataFrames in PandasLecture 28:Using multilevel indicesLecture 29:AggregationYou’ll also learn how to use the Python libraries NumPy, Pandas, and Matplotlib to write code that’s cleaner, more concise, and runs faster. Take this course today and start yourjourney now!Regards,EliteHakcer Team
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