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      Python for Data Analysis 2-Day Course, London in London

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      January 17, 2019

      Thursday  11:00 AM (on various days)

      Golden Cross House , 8 Duncannon Street
      London, Greater London

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      Python for Data Analysis 2-Day Course, London

      Python for Data Analysis Course summary In this course, we cover Python packages that are commonly used for data analysis. These packages include handling files, Numpy (‘Numerical Python'), SciPy (used for scientific and technical computing ) and Pandas (data analysis library). You would learn to execute data analysis programs in Python. Learn to use powerful extensions available in Python. You would learn to manipulate large and varied datasets by getting hands-on, practical experience working on real-life data problems on anonymized data sets.. You would gain working knowledge of a few of the most commonly used Python modules, used by data scientists. The course is useful for professionals who anyone who use data as part of their work and who need to draw analysis from the data. It is best to already have an understanding of programming. Session 1 What are 'modules' and how can they be useful for data analysis tasks.Looping, OO Principles.Reading and writing CSV files into a Python program: The CSV module,Txt Files. Json Files. Identifying and fixing errors in datasets. Linking with API's.Linking with SQL Database, Create a database, drop a database, Insert Tables, Alter Table, Drop Table,Insert, Update and delete records. Select queries, traverse and display query results. Data Structures, Lists, Sets, Tuples, Dictionaries. Identifying and fixing errors in datasets. Session 2 Pandas: Indexing, Iteration, Functions, aggregation, merge/join. Comparison with SQL. Session 3 The Python NumPy Module: Working with arrays, array manipulation, string, math, arithmetic and statistical functions. Session 4 Introduction and overview of SciPy functions.

      Categories: Science

      This event repeats on various days: Jan 24, Jan 31, Feb 7

      Event details may change at any time, always check with the event organizer when planning to attend this event or purchase tickets.
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