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2022-05-12T08:28:29Z

DevelopmentData SciencePython

250+ Exercises - Data Science Bootcamp in Python - 2022

Improve your Python programming skills and solve over 250 data science exercises!
Rating: 3.7 out of 53.7 (34 ratings)
20,266 students
Created by Paweł Krakowiak
Last updated 4/2022
English
English

What you'll learn

  • solve over 250 exercises in data science in Python
  • deal with real programming problems
  • deal with real problems in data science
  • work with libraries numpy, pandas, seaborn, plotly, scikit-learn, opencv, tensorflow
  • work with documentation
  • guaranteed instructor support

Requirements

  • completion of all courses in the Python Developer learning path
  • completion of all courses in the Data Scientist learning path
  • I have courses which can assist in obtaining all the necessary skills for this course

Description

Welcome to the 250+ Exercises - Data Science Bootcamp in Python course where you can test your Python programming and data science skills. The course consists of 250 exercises (exercises + solutions) in data science with Python. Python can be easy to pick up whether you're a first time programmer or you're experienced with other languages. Python is a programming language that lets you work quickly and integrate systems more effectively.


Packages that you will use in the exercises:

  • numpy

  • pandas

  • seaborn

  • plotly

  • scikit-learn

  • opencv

  • tensorflow


Some topics you will find in the exercises:

  • working with numpy arrays

  • working with matrices

  • random numbers

  • normal distribution

  • image as a numpy array

  • working with polynomials

  • working with dates

  • dealing with missing values

  • working with pandas Series and DataFrames

  • reading/writing files

  • working with stock market data

  • creating visualizations using seaborn and plotly

  • preparing data to the machine learning models

  • feature extraction

  • splitting data into train and test sets

  • solving systems of equations

  • building regression and classification models

  • working with neural networks - TensorFlow and Keras

  • working with computer vision - OpenCV


This is a great test for people who are learning the Python language and are looking for new challenges. The course is designed for people who already have basic knowledge in Python and knowledge about data science libraries. Exercises are also a good test before the interview. Many popular topics were covered in this course.


Don't hesitate and take the challenge today!


Stack Overflow Developer Survey

According to the Stack Overflow Developer Survey 2021, Python is the most wanted programming language. Python passed SQL to become our third most popular technology. Python is the language developers want to work with most if they aren’t already doing so.

Who this course is for:

  • everyone who wants to learn by doing
  • everyone who wants to improve programming skills in Python
  • people who are preparing for interview
  • people interested in data science
  • data scientists
  • data analytics
  • machine learning engineers

Instructor

Paweł Krakowiak
Python Developer/Data Scientist/Stockbroker
Paweł Krakowiak
  • 4.6 Instructor Rating
  • 4,094 Reviews
  • 172,378 Students
  • 69 Courses

EN

Python Developer/Data Scientist/Stockbroker

Founder at e-smartdata[.]org.

Big fan of new technologies!

Graduate of postgraduate studies at the Polish-Japanese Academy of Information Technology in the field of Computer Science and Big Data specialization.

Graduate of MA studies in Financial and Actuarial Mathematics at the Faculty of Mathematics and Computer Science at the University of Lodz. Former PhD student at the faculty of mathematics.

Stockbroker license holder (no 3073).

Lecturer at the GPW Foundation (technical analysis, behavioral finance and portfolio management).

PL

Data Scientist, Securities Broker

Założyciel platformy e-smartdata[.]org

Miłośnik nowych technologii, szczególnie w obszarze sztucznej inteligencji, języka Python oraz rozwiązań chmurowych.

Absolwent podyplomowych studiów na Polsko-Japońskiej Akademii Technik Komputerowych na kierunku Informatyka, spec. Big Data.

Absolwent studiów magisterskich z matematyki finansowej i aktuarialnej na wydziale Matematyki i Informatyki Uniwersytetu Łódzkiego.

Od 2015 roku posiadacz licencji Maklera Papierów Wartościowych z uprawnieniami do czynności doradztwa inwestycyjnego (nr 3073).

Wykładowca w Fundacji GPW prowadzący szkolenia dla inwestorów z zakresu analizy technicznej, finansów behawioralnych i zasad zarządzania portfelem instrumentów finansowych.

Z doświadczeniem w prowadzeniu zajęć dydaktycznych na wyższej uczelni z przedmiotów związanych z rachunkiem prawdopodobieństwa i statystyką.

Główne obszary zainteresowań to język Python, sztuczna inteligencja, web development oraz rynki finansowe.

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