Data Science Course in London (85 Courses, 67+ Projects)

About Data Science Course in London

Data Science Course in London Curriculum

The objective of the course is to give hands-on learning experience on different Data Science topics and need of the hour programming languages such as Python and R. The course also focuses on giving a varied knowledge on data science tools and software such as Hadoop, Pyspark, SPSS, Tableau, etc.,

Also, the course allows access to hands-on projects experience to acquire an overall knowledge and skill in the Data Science field.

This Data Science Course in London is a complete package of 76 courses and 52+ projects on software, programming languages, and tools that have been used in the Data Science world. So, it’s a complete expertise course a Data Scientist must-have.

The course involves hands-on training material of over 100 hours of Data Science using Python and R Programming languages the most widely used languages for Data Science across the world and along with that, you’ll get nearly 50hours of project material on python and R Programming.

You will also get more than 150 hours of hands-on training Courses along with the projects in statistical software such as SAS, SPSS, Minitab, and MATLAB. This software was used widely around the world for advanced statistical analysis and predictive analysis which is very vital for a Data Scientist.

Data storage, retrieval, and exploration are very important for Data Science projects and hence more than 180 hours of Big Data course along with projects that involve hands-on training on software such as Hadoop and Splunk are added in that course to have strong knowledge on Big Data platforms.

Data Visualization knowledge adds an extra edge to a Data Scientist and hence Tableau, a much-demanded Data Visualization tool in the Data Science world is added along with this Data Science Course in London. Over 35 hours of Tableau training material is available in this Data Science course.

Data Science Training – Certificate of Completion

Data Science Course in London- FAQ’s

Why should you take up the Data Science course in London?

To take up a Data Science course in London would provide a wide range of benefits from getting to know the most recent trends that have been taking place to the Data Science community to the lucrative job vacancies that available across the UK. The salary benefits are more when compared to other places like Asian countries.

There are a lot of well-established and growing companies in London where job opportunities for Data Scientist role are expanding at a good pace and also there is a lot of research been going on in London academic circles where people often hold conferences and held meetings could be of great benefit when you are taking up a Data Science course in London.

What is the Data Scientist market trend in London?

Since London is a place of huge financial, IT and E-commerce companies it is always a great place for both business and jobs, and particularly Data Science jobs are growing at a rapid rate in London. There is a growing demand for Data Scientists in the UK because of the variety of skills a Data Scientist processes. A report published by MHR Analytics in 2019 shows that in the UK about 80% of the companies require Data Scientists for their business and planning to go for consultancy services. So, it’s the right time and London is the right place to take up the Data Science course.

Sample Preview

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  Seaborn-Statistical Data Visualization

  06.51
• 

  pandas series

  05.36
• 

  Creating Pie Charts

  06.03
• 

  Decision Tree Classifier

  06.57
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  Hadoop Commands

  06.43

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  Union and Split Operators in Pig

  05.19
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  Analyze Book Performance By Reviews Using Code

  07.07
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  Install Software to Work with Iot

  11.07
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  Static IP Configuration

  06.51
• 

  Default Parameters in Functions

  08.25

Reviews

 

Data science with python

The course goes through the different areas of data science with python. Besides a fundamental theory regarding the explained concepts, the diverse concepts are exemplified with short python programs. The lessons are good to understand and the programs presented to illustrate and implement the concepts are simple and significant.
Linked

Jorge Giro

 

Business Analytics using R

The data scientist course was very comprehensive and covered in detail the business analytics using R. The tutor used clear English and explained very carefully the different topics of the course. It is very rare to find a course online that covers that much information going from the basics of statistics to the application of R to business analytics. I think this is a competitive advantage of the course since the majority of this kind of courses available online are made for people who already know statistics or even some knowledge about the software itself, but this Data scientist course tried to cover them all which made very comfortable for me as a student.
Linked

Abderrahmane Friha

 

Amazing First Sashay with Customer Analytics

If you’re looking to dipping your toes into customer analytics, this Data scientist course is a good first start. It provides the foundation knowledge for customer analytics from mapping out the customer lifecycle and drilling down on what needs to be down per phase of the said lifecycle. I need to note that the data scientist training course explains from a bank / financial service standpoint, though this I feel allows the course to explain the concepts better instead of not having any examples at all.
Linked

Acee Vitangcol

 

Great content

Amazing material put together, it goes in-depth with functions on Excel, R, and SAS. I like the complexity and the level of knowledge especially the Excel area. If you are looking to analyze data regularly using excel 2010, or similar platforms such as R, this training is full of great content at a very high level.
Linked

Jorge Dominguez

 

Good Introduction to Marketing Analytics

It is a good Introduction to Marketing Analytics. It lists the typical activities carried out in the practice of predictive analytics. Furthermore, it helps to define how to make analytics more efficient, lists the type of models that are used in marketing and digital marketing, and some hints on the leading vendors of predictive analytics.
Linked

Ricardo Garibay-Martínez