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CMDBID: 73392 | Course Code: QADMSFDS | Duration: 3 Days
Overview >

Fundamentals of Data Science is a three day overview course which blends discussion and group exercises to explore the field of data science with applied real world examples and projects.

Teaching begins with a conceptual introduction to science, data science, big data and machine learning; followed by a litany of real-world data science and machine learning examples.

The remainder is divided into two parts: introduction to Python, and the application of the language in building a Machine Learning model (including data preparation, statistical tests, feature engineering, modelling and evaluation).

Prerequisites >
Outline >

Course Dates

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Location
Duration
Start Date
Price
London, United Kingdom
3 Days
22nd Jun 2021
£1800
LVC, United Kingdom
3 Days
29th Jun 2021
£1800
LVC, Australia
3 Days
10th Aug 2021
$3750
LVC, Australia
3 Days
10th Aug 2021
$3750
LVC, United Kingdom
3 Days
10th Aug 2021
£1800
LVC, Germany
3 Days
10th Aug 2021
€2100
LVC, France
3 Days
10th Aug 2021
€2100
LVC, New Zealand
3 Days
10th Aug 2021
$3750
LVC, New Zealand
3 Days
10th Aug 2021
$3750
LVC, Australia
3 Days
10th Aug 2021
$3750
LVC, United States
3 Days
10th Aug 2021
$2700
LVC, United States
3 Days
10th Aug 2021
$2700
LVC, Italy
3 Days
10th Aug 2021
€2100
LVC, Spain
3 Days
10th Aug 2021
€2100
LVC, United States
3 Days
10th Aug 2021
$2700
ONSITE, United States
3 Days
Onsite
£2520

Thinking about Onsite?

If you need training for 3 or more people, you should ask us about onsite training. Putting aside the obvious location benefit, content can be customised to better meet your business objectives and more can be covered than in a public classroom. Its a cost effective option. One on one training can be delivered too, at reasonable rates.

Submit an enquiry from any page on this site, and let us know you are interested in the requirements box, or simply mention it when we contact you.

All $ prices are in USD unless it’s a NZ or AU date

SPVC = Self Paced Virtual Class

LVC = Live Virtual Class

Please Note: All courses are availaible as Live Virtual Classes