Data Science course UK - (400+ Training Courses, Online Certification)

Learn from Home Offer

What you get in this DATA SCIENTIST - Specialization | 150 Course Series?

605+ Hours

150 Courses

Course Completion Certificates

Lifetime Access

Self-paced Courses

Technical Support

Mobile App Access

Case Studies

About Data Science course UK

Course Name	Data Science course UK
Deal	You get access to all videos for the lifetime
Hours	605+ Video Hours
Core Coverage	You get to learn data science using R, Python, Machine Learning, Artificial Intelligence, Big data & Hadoop, Predictive Modeling, Business Analytics, Data Visualization, and other areas under Data Science.
Course Validity	Lifetime Access
Eligibility	Anyone serious about learning data science and wants to make a career in analytics
Pre-Requisites	Basic knowledge of data and analytics
What do you get?	Certificate of Completion for the course
Certification Type	Course Completion Certificates
Verifiable Certificates?	Yes, you get verifiable certificates for each150 course, Projects with a unique link. These link can be included in your resume/Linkedin profile to showcase your enhanced skills
Type of Training	Video Course – Self Paced Learning
Software Required	None
System Requirement	1 GB RAM or higher
Other Requirement	Speaker / Headphone

Data Science Course UK Curriculum

This exhaustive online data science course has been specially designed to help not only avid learners who can spare time at their ease but also working professionals. Data Science course the UK will help you to build a successful career in Data Science or to do a transition from your current profile, that too at your comfort and your own pace. So, you need not worry about keeping your professional or personal life at stake for becoming a Data Scientist.

Data Science course the UK is a one-stop solution for everything a learner needs to deep dive into the amazing world of Data and become a holistic data science professional.

The curriculum is created and Engineered in a way that it covers all the concepts of Data Analytics and Data Science, ranging from simple coding in Python to building Machine Learning models using it. The course will also give you a strong understanding of mathematics concepts that are used in the world of Data Science, like p-test, z-test, linear regression, multiple regression, etc. Curriculum also includes visualization tools like Tableau, which are a must to adept tools for a Data Scientist. The details in which these topics are covered will ensure your transformation into a Data Scientist professional, ready to be embraced by your potential employer.

MODULE 1: Data Science with Python Essentials Training

Courses	No. of Hours	Certificates
Machine Learning with Python 2024	5h 14m	✔
Machine Learning with Python Case Study - Covid19 Mask Detector	2h 05m	✔
Deep Learning: Automatic Image Captioning for Social Media with Tensorflow	2h 23m	✔
AI Machine Learning in Python	8h 37m	✔
Predictive Analytics and Modeling with Python	8h 26m	✔
Matplotlib for Python Data Visualization - Beginners	4h 2m	✔
Matplotlib for Python Data Visualization - Intermediate	2h 53m	✔
Matplotlib for Python Data Visualization - Advanced	6h 37m	✔
Pandas with Python Tutorial	5h 42m	✔
NumPy and Pandas Python	4h 7m	✔
Pandas Python Case Study - Data Management for Retail Dataset	3h 14m	✔
Python Case Study - Sentiment Analysis	57m	✔
Data Science with Python	4h 14m	✔
Artificial Intelligence with Python - Beginner Level	2h 51m	✔
Artificial Intelligence with Python - Intermediate Level	4h 34m	✔
AI Artificial Intelligence & Predictive Analysis with Python	6h 15m	✔
Video Analytics using OpenCV and Python Shells	2h 13m	✔
Machine Learning using Python	3h 26m	✔
Statistics Essentials with Python	3h 23m	✔
Project on Tensorflow - Implementing Linear Model with Python	1h 46m	✔
Project - Data Analytics with Data Exploration Case Study	5h 6m	✔
Random Forest Algorithm using Python	1h 27m	✔

MODULE 2: Data Science with R & Python Essentials Training

Courses	No. of Hours	Certificates
Seaborn Python - Beginners	2h 28m	✔
Seaborn Python - Intermediate	1h 18m	✔
Seaborn Python - Advanced	1h 56m	✔
PySpark Python - Beginners	2h 16m	✔
PySpark Python - Intermediate	2h 02m	✔
PySpark Python - Advanced	1h 18m	✔
Machine Learning Python Case Study - Diabetes Prediction	1h 02m	✔
R Studio UI and R Script Basics	4h 13m	✔
R Programming for Data Science \| A Complete Courses to Learn	5h 7m	✔
Logistic Regression & Supervised Machine Learning with R	4h 14m	✔
Decision Trees Modeling using R	1h 4m	✔
Project on ML - Churn Prediction Model using R Studio	1h 22m	✔
Financial Analytics in R - Beginners	3h 45m	✔
Financial Analytics in R - Intermediate	1h 28m	✔
Financial Analytics in R - Advanced	1h 35m	✔
R for Finance - Beginners to Beyond	2h 17m	✔
Comprehensive Course on R	3h 54m	✔
Time Series Analysis and Forecasting using R	4h 34m	✔
Project - Fraud Analytics using R	2h 34m	✔
Project - Marketing Analytics using R and Microsoft Excel	2h 9m	✔
Machine Learning with R	20h 25m	✔
Case Study - Customer Analytics using Tableau and R	2h 7m	✔
Case Study - Pricing Analytics using Tableau and R	2h 39m	✔
Business Analytics using R - Hands-on!	16h 21m	✔
Project - Market Basket Analysis in R	37m	✔
Project - Hypothesis Testing using R	3h 6m	✔
Data Visualization with R Shiny - The Fundamentals	39m	✔
Data Science with R	6h 2m	✔
R Studio Anova Techniques Course	2h 18m	✔

MODULE 3: Data Science with SAS Essentials Training

Courses	No. of Hours	Certificates
SAS Business Analytics for Beginners	10h 45m	✔
Predictive Analytics & Modeling with SAS	9h 19m	✔
Quantitative Finance with SAS	3h 29m	✔
SAS Statistics	8h 18m	✔
SAS ODS (Output Delivery System)	9h 36m	✔
SAS PROC SQL	13h 49m	✔
SAS Macros	7h 25m	✔
SAS Advanced Analytics	12h 22m	✔
SAS Graph	2h 1m	✔
SAS DS2	4h 59m	✔
SAS SQL	3h 01m	✔
SAS Practical - Macros	5h 5m	✔
SAS Advanced Programming	10h 7m	✔
SAS Categorical Data Analysis	7h 16m	✔
Certified SAS Base Programmer	12h 2m	✔
SAS Features for Starters	1h 5m	✔
SAS PROC SQL Features	1h 49m	✔

MODULE 4: Big Data & Hadoop

Courses	No. of Hours	Certificates
Big Data and Hadoop Training \| Online Hadoop Course	2h 2m	✔
Hadoop Architecture and HDFS	6h 13m	✔
MapReduce - Beginners	3h 01m	✔
MapReduce - Advanced	5h 35m	✔
Hive - Beginners	2h 47m	✔
Hive - Advanced	5h 11m	✔
PIG - Beginners	2h 1m	✔
PIG - Advanced	2h 13m	✔
NoSQL Fundamentals	2h 01m	✔
Mahout	3h 5m	✔
Apache Oozie	2h 11m	✔
Apache Storm	2h 3m	✔
Apache Spark - Beginners	1h 38m	✔
Apache Spark - Advanced	5h 47m	✔
Splunk Fundamentals	8h 33m	✔
Splunk Advanced 01 - Knowledge Objects	9h 29m	✔
Splunk Advanced 02 - Administration	39h	✔

MODULE 5: Learning from Projects & Practicals

Courses	No. of Hours	Certificates
Project on Hadoop - Sales Data Analysis	42m	✔
Project on Hadoop - Tourism Survey Analysis	55m	✔
Project on Hadoop - Faculty Data Management	35m	✔
Project on Hadoop - E-Commerce Sales Analysis	35m	✔
Project on Hadoop - Salary Analysis	49m	✔
Project on Hadoop - Health Survey Analysis using HDFS	56m	✔
Project on Hadoop - Traffic Violation Analysis	1h 25m	✔
Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce	2h 33m	✔
Project on Hadoop - Case Study on Telecom Industry using HIVE	2h 2m	✔
Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce	53m	✔
Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop	3h 34m	✔
Project on Hadoop - Sensor Data Analysis using HIVE/PIG	5h 26m	✔
Project on Hadoop - Youtube Data Analysis using PIG/MapReduce	3h 02m	✔
Hadoop and HDFS Fundamentals on Cloudera	1h 22m	✔
Project on Hadoop - Log Data Analysis	1h 32m	✔
SPSS 2024 - Beginners	58m	✔
SPSS 2024 - Advanced	5h 19m	✔
Advanced SPSS Project: Impact of EMI on Home Loan	43m	✔
Advanced SPSS Project: Impact of Total Turnover in Equity Market	58m	✔
Advanced SPSS Project: Impact of Trade Data in Equity Market	46m	✔
SPSS GUI and Applications	1h 13m	✔
SPSS - Correlation Techniques	1h 8m	✔
Linear Regression & Supervised Learning with SPSS	3h 07m	✔
SPSS - Multiple Regression Modeling	2h 34m	✔
Logistic Regression & Supervised Learning using SPSS	2h 37m	✔
SPSS - Multinomial Regression	2h 2m	✔
SPSS GUI for Statistical Analysis	2h	✔
Tableau Desktop Training 2024	4h 21m	✔
Tableau Project-Creating Dashboard and Stories For Financial Markets	2h 08m	✔
Tableau Project - Russo-Ukraine War A Data Analytical Review	1h 06m	✔
Tableau	4h 7m	✔
BI Tools and Tableau Analytics	5h 38m	✔
Business Intelligence with Tableau	5h 43m	✔
Tableau Features Hands-on!	5h 32m	✔
Tableau Practical - Super Store Business Requirements	45m	✔
Analytics using Tableau	9h 28m	✔

MODULE 6: Minitab and MATLAB

Courses	No. of Hours	Certificates
Minitab for Beginners - 2024	1h 15m	✔
Advanced Minitab Training - 2024	4h 39m	✔
Minitab Practical - Impact of Predictors on Response	1h 35m	✔
Statistical Analysis using Minitab - Beginners to Beyond	4h 21m	✔
Minitab GUI and Descriptive Statistics	2h 43m	✔
ANOVA in Minitab	52m	✔
Correlation Techniques in Minitab	2h 18m	✔
Project on Minitab - Regression Modeling	9h 36m	✔
Minitab Predictive Modeling using Excel	55m	✔
MATLAB - Beginners	3h 9m	✔
MATLAB - Intermediate	47m	✔
MATLAB - Advanced	4h 1m	✔

MODULE 7: Database & SQL

Courses	No. of Hours	Certificates
Oracle SQL	17h 32m	✔
Oracle PLSQL	12h 56m	✔
Oracle DBA 1	9h 27m	✔
Machine Learning ZERO to HERO - Hands-on with Tensorflow	13h 39m	✔
Deep Learning ZERO to HERO - Hands-on with Python	11h 17m	✔
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression	2h 07m	✔
Project on R - HR Attrition and Analytics	2h 08m	✔
Logistic Regression using SAS Stat	4h 26m	✔
Linear Regression & Supervised Learning in Python	2h 28m	✔
Logistic Regression & Supervised Machine Learning in Python	2h 6m	✔
Project on R - Card Purchase Prediction	2h 28m	✔
Develop a Movie Recommendation Engine	51m	✔
Random Forest Techniques and R - Employee Attrition Prediction	1h 6m	✔
Predictive Analytics Model for Term Deposit Investment using CART Algorithm	1h 38m	✔
Poisson Regression with SAS Stat	2h 21m	✔
Machine Learning Project using Caret in R	1h 58m	✔
Sales Forecasting using Time Series Analysis in Python	2h 13m	✔

Data Science Training – Certificate of Completion

What is Data Science?

The statement, “data is the oil of future”, is everywhere and yes, it is true. ‘DATA’ is the oil of the future, and if you have it, you have the power to dominate the market. BUT, do we have the liberty to pick up any random oil and start using it to meet all our requirements? Some random oil for hair, cooking, bike, or maybe for airplanes?

The answer must be a resounding NO. The oil extracted must be refined and then made available for its consumers in various forms and through different delivery channels. Similarly, the so-called OIL or data in our case must be played around with and then presented in a form, that it can be put to use by its end-user.

Data, more often than not, doesn’t make any sense at its own, the data has to be cleaned and represented in such a way that it makes sense to the audience or the consumer of the data.

The same can be achieved by the power of Data Science that includes both playing around with data and representing it visually. Data science enriches and empowers the data so that it can be put to use by someone doing an entry-level job of running a few queries, to someone at C-suite level brainstorming reasons for dipping sales.

Industry Growth Trend

The overall data science platform market is expected to grow from USD 19.58 billion in 2016 to USD 101.37 billion by 2021, at a CAGR of 38.9% from 2016 to 2021.
[Source - MarketsandMarkets]

Average Salary

Average Salary$120,301 per year

The average salary for a Data Scientist is $120,301 per year in the United States.
[Source - Indeed]

Which Skills will you learn in this Course?

The program is developed and designed in such a way that it fits the needs of every data enthusiast, ranging from someone who is abecedarian in the field of data science to someone who is well familiar with the concepts but wants to take his understanding to expert level.

The program starts with concepts of Python and how it is used in the field of Data Science. You will get to learn about the special libraries in python like Pandas, Numpy, Matplotlib, seaborn, etc. that provide us with numerous powerful functionalities like data exploration, visualization, regression, modeling, etc. Our learning will not be limited to Python but will also include R programming which is another paramount part of data science. Numerous program-specific features can be implemented by using R programming language and we will be learning them in the Data Science course in the UK.

We will also learn SAS, one of the most important tools in the field of data science, and how Data Scientists utilize SAS for analytics. SAS learning will be supplemented by working on a live project to ensure an insightful understanding of the topic. The course will also offer a deep understanding of modules like Hadoop, SPSS, Tableau, Minitab. Moreover, we will also learn SPLUNK and MATLAB to ensure that we leave no stone unturned in our journey to become a Data Scientist.

Also, to ensure that the understanding is not merely limited to the theory part, the hands-on projects are provided with all the topics. So, this course not only makes you adept in the theoretical part of Data Science but also make sure that you become well familiar with the industry relevance of these topics.

Pre-requisites

That being said, you will still have some upper hand in case there is some initial understanding of Python and R programming language. Also, initial knowledge of tools like Minitab, Hadoop, Splunk, and Matlab will be an added advantage.

Target Audience

The topics and hands-on projects covered in the Data Science course UK will ensure that the audience will have an upper hand when it comes to ever-expanding, competitive job market. The students who are in the final year of their studies and willing to be a data scientist can get a kick start to their career with this course. For students, the Data Science course the UK ensures that the gap between academics and industry requirements is diminished and they become more employable as compared to their peers.

Data Science Course in the UK – FAQ’s

Why should you take up the Data Scientist course in the UK?

These are erratic times for businesses in the United Kingdom. Technological, economic, and political disruptions have created a climate of increased ambiguity. With the UK’s imminent exit from the European Union (EU) scheduled, businesses all over the UK are making urgent preparations for fresh threats ahead.

Part of these preparations involves the use of data and data analytics to leverage insights and inferences to make meticulous business choices about revenue optimization, cost optimization, and improving business reporting and decision-making processes.

But, there is a problem, a large number of these businesses lack the right skills, tools, and expertise to deep dive in the field of data analytics, to get any significant knowledge and make useful interpretations.

What is the Data Science market trend in the UK?

As per government sources, UK businesses are planning to tackle the uncertainties through extended investments in data analytics, digital transformation & data insights. These companies will be investing in hiring talent to manage their data and help them to make decisions using it. UK employers have posted 27,033 job ads seeking Data Science professionals between the 12 months of July 2017 & June 2018. This when compared to Data Scientist jobs posted in 2013, which were 8157, shows a growth of 231% in just 5 years.

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Career Benefits

Based on market research, it is found that Data Science is one of the sectors which has critical demand and supply imbalance. This course is comprised of all the topics that are required by an individual who wants to tap the market of data science. Data Science course UK extensively covers all the topics, tools, and technologies that are present in the ocean of data science. As the learning is not restricted to the theoretical part but also extends to industry-relevant projects, the learner will be ready to start his/her data scientist carrier as soon as the course is finished. The industry-relevant projects and hands-on experience will ensure that the learner will be able to work as a data scientist and will also be able to handle the work all alone in the production environment.

Reviews

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

Effective Tool for dashboard creation

This Data Science course is very informative and good for beginners. Clear, easy to understand and the instructor delivered the data scientist training in a very smooth way and covered a lot of topics. It lists the typical activities carried out in analytics and dashboard creation. Furthermore, it helps to define how to make a dashboard effectively. Simple and easily demonstrated Sales and Marketing analysis, chart, and table creation.
Linked

DATA SCIENTIST - Specialization | 150 Course Series