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[vc_column_text]This mini bootcamp is a great opportunity for the ones who want to start a data science career but have never coded before. In our new \u201cIntroduction to Python Mini Bootcamp\u201d you can start learning from scratch.<\/p>\n

<\/p>\n

In this Introduction to Python Mini Bootcamp, you will learn to code in Python which is one of the most popular programming languages as of today. Students will learn the fundamentals of Python so they can develop scripts to automate routine work and scale large load of work. By the end of this mini bootcamp, you will learn common coding skills in Python, and acquire knowledge of its data structures, modules, functions, input\/output, exceptions, and the basics of the object-oriented methodologies. You will learn to develop, test, debug, and improve your coding skills in Python.<\/p>\n

<\/p>\n

This bootcamp is for anyone who are interested in learning data science. The program will teach you the fundamental skills of Python. During our bootcamp, you will explore a hands-on experience that will ignite your enthusiasm and confidence to learn Python.[\/vc_column_text]<\/div>

[vc_column_text]The following topics will be covered in the class:<\/p>\n

Variables and strings manipulations.<\/li>\n
Lists, Sets, Dictionaries, and Tuples.<\/li>\n
Sorting functions.<\/li>\n
If statements, for and while loops.<\/li>\n
Opening, reading, and writing files.<\/li>\n
Functions and modules.<\/li>\n
Functions with variable number of arguments.<\/li>\n
Exception handlings and Assertion.<\/li>\n
Lambda function and List comprehension.<\/li>\n
The modules math, datetime, os, sys, and urllib.<\/li>\n
Regular expressions module (re).<\/li>\n
Object Oriented Programming in Python.<\/li>\n<\/ul>\n[\/vc_column_text]<\/div>
[vc_column_text]Start learning the Python with outside of business hours schedule of 12 hours as follows:<\/p>\n
<\/p>\n
April 12 \u2013 19 \u2013 26 and May 3<\/p>\n
Sundays, from 10 am to 1 pm[\/vc_column_text]<\/div>
[vc_column_text]This mini bootcamp consists of 3 online-live webinars which will be given in 3 weeks. You can join the live lectures from wherever you are.[\/vc_column_text]<\/div>
[vc_column_text]The application process starts at magnimindacademy.com. On the related course page, you can apply by clicking the \u201cApply now\u201d button and then fill out the application form. You will be notified and informed about the details with an email prior to the bootcamp.[\/vc_column_text]<\/div>
[vc_column_text]Arafat Mokhtar is a Business Intelligence Engineer at Stanford School of Medicine. He supports several teams with data collections, validation, cleansing, and analytics to provide actionable data insights used by leadership management to make data-driven decisions. Arafat holds a PhD in Physics from Tel Aviv University and completed his postgraduate studies at Stanford University. His work expands into fields of research, finance, operation, and human resource. Arafat has several years of Python, R, SQL, and Tableau work experience.[\/vc_column_text]<\/div><\/div>[\/vc_column][\/vc_row]\n<\/div>","protected":false},"excerpt":{"rendered":"
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