Practical Data Science With Python (inglise keeles)

längd, varaktighet: 5 dagar , kursspråk: engelska, Språk kursmaterial: engelska, kursmaterial : pdf
Practical Data Science With Python (inglise keeles), no exam
Practical Data Science With Python (inglise keeles) (5 dagar), 07.12.2020
3290 €
+ . 20%.

Koolituse maht: 40 akadeemilist tundi (5 päeva)

Sihtgrupp: For fledging data science practitioners, and for IT professionals who wish to move to the exciting world of data analytics and machine learning.

Koolitusel osalemise eeldused: 

  • GCSE level mathematics or above. Alternatively, familiar and comfortable with logical and mathematical thinking
  • Familiar with basic knowledge of programming: variables, scope, functions

The training is held in cooperation with our partner QA.

Koolituse kirjeldus

An introduction to Statistics, R, Python, Analytics, Data Science and Machine Learning. Sets up practitioners with working knowledge ofwhole field of data science, along with immediate practical knowledge of key analytical tasks.

This 5-day course is hands-on, practical and workshop based. It is the start of an experienced developer’s journey towards becoming a Data Scientist. If you are a software engineer, in business intelligence, or you are an SQL specialist, this is the course for you.

By attending this course you will learn how to become a professional Data Scientist. You’re going to be able to demystify and understand the language around data science and understand the core concepts of analytics and automation. You’ll also develop practical, hands-on, advanced skills in Python, targeted towards data analysis and Machine Learning and R, so you can create sophisticated statistical models.

Koolituse teemad

  • Introduction to Data Science
  • Methods in Machine Learning
  • Introduction to Mathematics
  • Statistics for Data Science
  • Introduction to Python
  • Programming in Python
  • Numerical Python
  • Data Manipulation with Pandas
  • Data Visualisation with Matplotlib and Seaborn
  • Data Exploration
  • Machine Learning Algorithms
  • Python Machine Learning
  • NoSQL Databases
  • Hadoop and Ecosystems

Koolituse õpiväljundid

At the end of the course attendees will know:

  • fundamental concepts of Data Science;
  • methodologies used in Machine Learning;
  • summary statistics and how to use statistical inference to analyse data;
  • hands on R programming language for numerical analysis;
  • hands on Python programming language for numerical analysis;
  • most used simple machine learning algorithms.

At the end of the course attendees will be able to:

  • speak the language of data scientists;
  • write R or Python programs to analyse data;
  • understand a R or Python program in the context of data analytics;
  • explore and visualise data using R or Python;
  • build working machine learning models.

Koolituse lõpetamise tingimused: õpiväljundite saavutamist kontrollitakse ja hinnatakse läbi iseseisva praktilise töö.


Koolitushind sisaldab:

  • koolitust;
  • õppematerjale;
  • tunnistust.

Lisaks pakume:

  • sooje jooke koos küpsistega;
  • lõunasööki igal koolituspäeval.


Täienduskoolituse õppekavarühm: informatsiooni- ja kommunikatsioonitehnoloogia interdistsiplinaarne õppekavarühm


If you can not participate this course, you can send someone else instead of you. If cancellation is done less than 14 days before the course start, we will charge 50% of the price. In case of no show without any cancellation, we will charge the whole price. Cancellation fee will also be charged in case of illness.