Data Analysis with Python, Pandas and Numpy. Webinar, Virtual Classroom.

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Data Analysis with Python, Pandas and Numpy. Webinar, Virtual Classroom.

Data Analysis with Python, Pandas and Numpy. Webinar, Virtual Classroom.

By PCWorkshops

Location

Online

Refund Policy

No Refunds

About this event

Python for Data Analysis

Course summary

  • Duration:  2 Day
  • Virtual Classroom: Online , Instructor-Led, Practical
  • Laptops: Download anaconda.com

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 the most commonly used Python modules for data scientists.

We concentrate on handling files, Numpy (‘Numerical Python'), SciPy (used for scientific and technical computing ) , Pandas (data analysis library) and Matplotlib.

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. We would issue pre-course work for beginners.

Course Outline: 

Session 1:  Brief Revision of Python Basics.

Session 2: Data Structures, Data and Files

  • Lists, Tuples, Sets.
  • Dictionaries, Json Files.
  • CSV files. Reading and writing Csv Files. The CSV module.
  • Txt Files. Bytes and Unicode with files.

Session 3: Numpy: The Python Numpy Module: Working with arrays, array manipulation, string, math, arithmetic and statistical functions.

Session 4: Pandas: 

  • Pandas Series, Date/ Time Functionality. Time series.
  • Pandas Data frames, Indexing, Sorting, Filter, Slicing, Iteration, Functions,
  • Aggregation.

Session 5: Data Cleaning and preparation

Random Sampling. Finding and filtering Missing data, Remove Duplicates, String objects, Regex. Replacing values. Transforming data using function and mapping, Renaming Axis Indexes, Discretization and Binning.

Session 6: Data Wrangling

Hierarchical Indexing, Reorder, Sorting, Statistics, Data frame Joins, Merging, Concatenation, Overlap. Reshaping and pivoting.

Session 7: Plotting and Visualization

Introducing to plotting data with MatPlotLib

Organised by

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.uk

  • Our classes are instructor led, in our Live Virtual Classroom
  • Courses 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 Trainer

We offer Training Courses in Software Packages:

  • Java Programming
  • Python Programming, Python data analytics, Python Machine Learning
  • Database design and Data Normalisation
  • SQL Courses
  • Data Analysis and 
  • MS Excel, data analyses with Excel. Excel VBA
  • Access Database Courses.
  • MS Project Training
  • MS Office Training

Our Style:

  • Relaxed, Practical, Useful

Methods of instruction:

  • Classroom training with max class-size 4 people
  • Virtual classrooms via online video links
  • 1-1 mentoring
  • Customised training

Certification:

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 qualification

Customisation:

We can tailor all our courses. Email to customise location, times, content.

 

 

 

£200 – £500