Python Data Analysis Bootcamp: From Beginner to Pandas Pro in 1 Day

At PCWorkshops, we offer instructor-led online courses in our Live Virtual Classroom. We cover Java programming, Python Coding, Database Development, SQL, Data Analytics and MS Project.More about us:training@pcworkshopslondon.co.ukOur classes are instructor led, in our Live Virtual ClassroomCourses well developed by registered, qualified instructors with a wealth of experience in software development and training.The maximum groups size that can access our Virtual Classroom, is 4.Every one gets personalised attention.Why learn with us at PCWorkshops:Excellent, up-to-date courses, following latest trends and technologies.Excellent trainers with professional experience.Award Winning Trainer21 Years In BusinessExcellent Client ReferencesPCWorkshops CertificateWeekdays, Evenings and WeekendsAt PCWorkshops, we love out job!We offer Training Courses in Software Packages:Java ProgrammingPython Programming, Python data analytics, Python Machine LearningDatabase design and Data NormalisationSQL CoursesData Analysis andMS Excel, data analyses with Excel. Excel VBAAccess Database Courses.MS Project TrainingMS Office TrainingOur Style:Relaxed, Practical, UsefulMethods of instruction:Classroom training with max class-size 4 peopleVirtual classrooms via online video links1-1 mentoringCustomised trainingCertification:Our PCWorkshops certificates are assessment based.Our Java course outlines are aligned with Oracle courses. We assist with exam prep for the prestigious, international Oracle Certified Associate qualification.Our clients are:Data analysts and all others who use large sets of dataSoftware companies, testing companies, companies employing software developersCoders and new coders who need Accredited Java qualificationCustomisation:We can tailor all our courses. Email to customise location, times, content.Terms and Conditions:B﻿y booking a course with us, you agree to the terms and conditions specified on our website:https://pcworkshopslondon.co.uk/termsandconditions.html

PCWorkshops

Get data from data sources, clean, transform, merge, combine data, prepare data to your required subset of rows, columns, and structure.

PCWorkshops at Regus Near Trafalgar Square

Python for Data Analysis<h2>Course summary</h2>You would learn to manipulate large and varied datasets by getting hands-on, practical experience working on real-life data problems.You would gain working knowledge of the most commonly used Python modules for data scientists.Get data from data sources, merge and combine it into one or more data sets.Clean your data, re-structure, transform, and manipulate data to make sure it is suitable for your use case.Course delivery<ul><li>Location: Online or In Classroom</li><li>Instructor-led: No training-bots in our classroom yet</li><li>Joining Instructions: Full joining instructions will be sent ahead of the course.</li><li>Certificate: PCWorkshops certificate is issued on completion</li><li>Notes: Includes notes, exercises, code samples, some videos.</li></ul> Laptops, software and datasets:<ul><li>Laptops: Bring your own device</li><li>Data sets: We will provide sample datasets beforehand</li></ul>PracticalThis course is hands-on and very practical. You will be given many examples and challenges to try out on your ownKey learning outcomesAt the end of this course, you will be able to:Easily clean, prepare, transform, and summarize data trends from large data setsWho should come?<ul><li>Anyone who needs to manage or interact with large datasets.</li><li>Some basic experience working with data would be useful but is not required to follow the course.</li><li>The course does not require any prior programming experience.</li></ul> <h4>Course Outline:</h4>Session 1: Importing your data to Python, from various sources for different data structures. Session 2: PandasThe Python Pandas: Dataframes, Series, Indexing, Sorting, Filter, Slicing, Iteration, Functions, Date/Time Functionality. Time series.Session 3: Data Cleaning and preparationRandom Sampling. Finding and filtering data, Replacing values, Finding and filtering Missing data, Remove Duplicates, String objects, Regex. Transforming data using function and mapping, Renaming Axis Indexes, Discretization and Binning.Session 4: Data WranglingHierarchical Indexing, Reorder, Sorting, Stastitics, Dataframe Joins, Merging, Concatenation, and Overlap. Reshaping and pivoting. Your trainer:Sarah Barnard has been a software and database developer for 20+ years. She founded, grew and sold 3 software training companies during this time. She has published 5000+ educational programming scripts, 49 training manuals available on Shopify, manages a Udemy channel and a Programming Languages Meetup group

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Python Data Course

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Python Data Analysis Bootcamp: From Beginner to Pandas Pro in 1 Day

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Python Data Analysis Bootcamp: From Beginner to Pandas Pro in 1 Day

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