Learn from Home Offer
Data Science Course UK (85 Courses, 67+ Projects)
85 Online Courses
67 Hands-on Projects
660+ Hours
Verifiable Certificate of Completion
Lifetime Access
Python Data Scientist Courses (18 Courses)
Python Data Scientist Projects (6 Projects)
R Programming Data Scientist Courses (12 Courses)
R Programming Data Scientist Projects (11 Projects)
SAS Data Scientist Courses (9 Courses)
* One Time Payment & Get Lifetime Access
What you get in this Data Science Course UK?
Online Classes
Technical Support
Mobile App Access
Case Studies
About Data Science course UK
Course | No. of Hours | |
---|---|---|
Machine Learning with Python 2022 | 5h 15m | |
Project on Machine Learning - Covid19 Mask Detector | 2h 05m | |
Machine Learning Project - Auto Image Captioning for Social Media | 2h 23m | |
Machine Learning with SciKit-Learn in Python | 8h 37m | |
Machine Learning Python Case Study - Predictive Modeling | 8h 27m | |
Matplotlib for Python Developers - Beginners | 4h 12m | |
Matplotlib for Python Developers - Intermediate | 2h 52m | |
Matplotlib for Python Developers - Advanced | 6h 37m | |
Pandas with Python Tutorial | 5h 47m | |
NumPy and Pandas Python | 5h 01m | |
Pandas Python Case Study - Data Management for Retail Dataset | 3h 28m | |
Python Case Study - Sentiment Analysis | 1h 06m | |
Data Science with Python | 4h 14m | |
Artificial Intelligence with Python - Beginner Level | 2h 49m | |
Artificial Intelligence with Python - Intermediate Level | 4h 36m | |
AI Artificial Intelligence 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 7m | |
Project on ML - Random Forest Algorithm | 1h 29m | |
Seaborn Python - Beginners | 2h 28m | |
Seaborn Python - Intermediate | 1h 18m | |
Seaborn Python - Advanced | 1h 56m | |
PySpark Python - Beginners | 2h 3m | |
PySpark Python - Intermediate | 2h 05m | |
PySpark Python - Advanced | 1h 14m | |
Machine Learning Python Case Study - Diabetes Prediction | 1h 03m | |
R Studio UI and R Script Basics | 4h 9m | |
R Programming for Data Science | A Complete Courses to Learn | 5h 7m | |
R Practical - Logistic Regression with R | 4h 14m | |
Project - Decision Tree Modeling using R | 1h 41m | |
Project on ML - Churn Prediction Model using R Studio | 1h 22m | |
Financial Analytics in R - Beginners | 3h 5m | |
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 | |
Project on R - Forecasting using R | 4h 34m | |
Project - Fraud Analytics using R & Microsoft Excel | 2h 34m | |
Project - Marketing Analytics using R and Microsoft Excel | 2h 9m | |
Machine Learning with R | 20h 28m | |
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 | |
SAS Business Analytics for Beginners | 10h 42m | |
Predictive Modeling with SAS Enterprise Miner | 9h 21m | |
Quantitative Finance with SAS | 3h 29m | |
SAS Statistics | 8h 18m | |
SAS ODS (Output Delivery System) | 9h 08m | |
SAS PROC SQL | 13h 49m | |
SAS Macros | 7h 38m | |
SAS Advanced Analytics | 12h 34m | |
SAS Graph | 2h 1m | |
SAS DS2 | 5h 2m | |
SAS SQL | 3h 03m | |
SAS Practical - Macros | 5h 12m | |
SAS Advanced Programming | 11h 24m | |
SAS Categorical Data Analysis | 7h 26m | |
Certified SAS Base Programmer | 12h 2m | |
SAS Features for Starters | 1h 5m | |
SAS PROC SQL Features | 1h 53m | |
Big Data and Hadoop Training | Online Hadoop Course | 2h 3m | |
Hadoop Architecture and HDFS | 6h 13m | |
MapReduce - Beginners | 3h 34m | |
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 51m | |
Apache Oozie | 2h 13m | |
Apache Storm | 2h 4m | |
Apache Spark - Beginners | 1h 5m | |
Apache Spark - Advanced | 6h 14m | |
Splunk Fundamentals | 8h 33m | |
Splunk Advanced 01 - Knowledge Objects | 9h 29m | |
Splunk Advanced 02 - Administration | 39h | |
Project on Hadoop - Sales Data Analysis | 47m | |
Project on Hadoop - Tourism Survey Analysis | 53m | |
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 2022 - Beginners | 1h 05m | |
SPSS 2022 - Advanced | 5h 22m | |
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 | |
SPSS - Linear Regression Modeling | 3h 08m | |
SPSS - Multiple Regression Modeling | 2h 34m | |
SPSS - Logistic Regression | 2h 01m | |
SPSS - Multinomial Regression | 2h 2m | |
SPSS GUI for Statistical Analysis | 2h | |
Tableau Desktop Training 2022 | 4h 17m | |
Tableau Project-Creating Dashboard and Stories For Financial Markets | 2h 08m | |
Tableau Project - Russo-Ukraine War A Data Analytical Review | 1h 02m | |
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 29m | |
Minitab for Beginners - 2022 | 1h 12m | |
Advanced Minitab Training - 2022 | 4h 39m | |
Minitab Practical - Impact of Predictors on Response | 1h 36m | |
Statistical Analysis using Minitab - Beginners to Beyond | 4h 27m | |
Minitab GUI and Descriptive Statistics | 2h 43m | |
ANOVA in Minitab | 53m | |
Correlation Techniques in Minitab | 2h 21m | |
Project on Minitab - Regression Modeling | 9h 54m | |
Minitab Predictive Modeling using Excel | 55m | |
MATLAB - Beginners | 2h 58m | |
MATLAB - Intermediate | 47m | |
MATLAB - Advanced | 4h 1m | |
Oracle SQL | 17h 32m | |
Oracle PLSQL | 13h 2m | |
Oracle DATABASE Admin DBA 1 Course | 9h 27m | |
Machine Learning with Tensorflow | 13h 29m | |
Hands-on Deep Learning Training | 10h 8m | |
Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression | 2h 07m | |
Project on R - HR Attrition and Analytics | 2h 4m | |
Logistic Regression using SAS Stat | 4h 28m | |
Linear Regression in Python | 2h 28m | |
Python Data Science Case Study - Predicting Survival of Titanic Passengers | 2h 6m | |
Project on R - Card Purchase Prediction | 2h 28m | |
Machine Learning Python Case Study - Develop Movie Recommendation Engine | 51m | |
R Practical - Employee Attrition Prediction using Random Forest Technique and R | 1h 6m | |
Project on Term Deposit Prediction using Logistic Regression CART Algorithm | 1h 38m | |
Poisson Regression with SAS Stat | 2h 22m | |
Machine Learning Project using Caret in R | 1h 58m | |
Time Series Analysis in Python - Sales Forecasting | 2h 12m |
Course Name | Data Science course UK |
Deal | You get access to all videos for the lifetime |
Hours | 660+ 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 each85 course, 67 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.
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
[Source - Indeed]
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
-
- This program is developed in a way that it best fits the learning need of every data fanatic. An individual with limited to no knowledge of the tools and technologies mentioned above can benefit equally when compared to someone who has an initial understanding of these topics.
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
-
- This course is for every individual who has a zeal to learn new things, every professional who want to upskill or reskill, every student who wants to kick start his/her carrier in the world of Data Science.
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.
Sample Preview
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
Patrick