Cyber Monday Offer
Cyber Monday Offer
Data Science Course UK (76 Courses, 60+ Projects)
76 Online Courses
60 Hands-on Projects
Verifiable Certificate of Completion
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?
Mobile App Access
About Data Science course UK
|Course||No. of Hours|
|Machine Learning with SciKit-Learn in Python||8h 46m|
|Projects on ML - Predictive Modeling with Python||9h 44m|
|Matplotlib for Python Developers - Beginners||4h 24m|
|Matplotlib for Python Developers - Intermediate||2h 6m|
|Matplotlib for Python Developers - Advanced||6h 5m|
|Pandas with Python Tutorial||6h 05m|
|NumPy and Pandas||5h 07m|
|Project on Pandas - Data Management for Retail Dataset||4h 18m|
|Project on Python - Sentiment Analysis||1h 08m|
|Data Science with Python||4h 22m|
|Artificial Intelligence with Python||6h 36m|
|Video Analytics Using Opencv and Python Shells||2h 21m|
|Machine Learning using Python||3h 35m|
|Statistics for Data Science using Python||3h 56m|
|Project on Tensorflow - Implementing Linear Model with Python||1h 49m|
|Project - Data Analytics with Data Exploration Case Study||5h 15m|
|Project on ML - Random Forest Algorithm||1h 31m|
|Seaborn - Beginners||2h 34m|
|Seaborn - Intermediate||1h 22m|
|Seaborn - Advanced||1h 6m|
|PySpark - Beginners||2h 33m|
|PySpark - Intermediate||2h 16m|
|PySpark - Advanced||1h 21m|
|Machine Learning with Python Project - Predict Diabetes on Diagnostic Measures||1h 07m|
|R Studio UI and R Script Basics||4h 9m|
|R Programming for Data Science | A Complete Courses to Learn||6h 22m|
|Project - Logistic Regression with R||4h 25m|
|Project - Decision Tree Modeling using R||1h 45m|
|Project on ML - Churn Prediction Model using R Studio||1h 25m|
|Financial Analytics in R - Beginners||3h 53m|
|Financial Analytics in R - Intermediate||1h 32m|
|Financial Analytics in R - Advanced||1h 4m|
|R for Finance - Beginners to Beyond||2h 18m|
|Comprehensive Course on R||4h 1m|
|Project on R - Forecasting using R||4h 28m|
|Project - Fraud Analytics using R & Microsoft Excel||2h 37m|
|Project - Marketing Analytics using R and Microsoft Excel||3h 32m|
|Machine Learning with R||20h 21m|
|Projects on R and Tableau - Customer Analytics||2h 11m|
|Projects on R and Tableau - Pricing Analytics||2h 06m|
|Business Analytics using R - Hands-on!||16h 11m|
|Project - Market Basket Analysis in R||39m|
|Project - Hypothesis Testing using R||3h 13m|
|Data Visualization with R Shiny - The Fundamentals||44m|
|Data Science with R||5h 8m|
|R Studio Anova Techniques Course||2h 18m|
|SAS Business Analytics for Beginners||10h 59m|
|Project on SAS - Predictive Modeling with SAS Enterprise Miner||9h 47m|
|Project on SAS - Quantitative Finance||3h 32m|
|SAS Statistics||8h 33m|
|SAS Output Delivery System(ODS)||9h 09m|
|SAS PROC SQL||14h 14m|
|SAS Macros Tutorials||7h 38m|
|Project on SAS - Advanced Analytics||12h 34m|
|Project on SAS - SAS Graph||2h 12m|
|Project on SAS - Programming using SAS DS2||5h 2m|
|SAS Advanced Project - SAS SQL||3h 03m|
|SAS Advanced Project - Macros||5h 12m|
|SAS Advanced Programming||11h 28m|
|Project on SAS - Categorical Data Analysis||7h 26m|
|Certified SAS Base Programmer||12h 48m|
|SAS Features for Starters||1h 54m|
|SAS PROC SQL Features||1h 53m|
|Big Data and Hadoop Training | Online Hadoop Course||2h 5m|
|Hadoop Architecture and HDFS||6h 24m|
|MapReduce - Beginners||3h 39m|
|MapReduce - Advanced||5h 01m|
|Hive - Beginners||2h 55m|
|Hive - Advanced||5h 2m|
|PIG - Beginners||2h 15m|
|PIG - Advanced||2h 14m|
|NoSQL Fundamentals||2h 04m|
|Apache Oozie||2h 18m|
|Apache Storm||2h 7m|
|Apache Spark - Beginners||1h 52m|
|Apache Spark - Advanced||5h 27m|
|Splunk Fundamentals||8h 44m|
|Splunk Advanced 01 - Knowledge Objects||9h 46m|
|Splunk Advanced 02 - Administration||37h 54m|
|Project on Hadoop - Sales Data Analysis||47m|
|Project on Hadoop - Tourism Survey Analysis||55m|
|Project on Hadoop - Faculty Data Management||35m|
|Project on Hadoop - E-Commerce Sales Analysis||36m|
|Project on Hadoop - Salary Analysis||49m|
|Project on Hadoop - Health Survey Analysis using HDFS||57m|
|Project on Hadoop - Traffic Violation Analysis||1h 28m|
|Project on Hadoop - Analyze Loan Dataset using PIG/MapReduce||2h 38m|
|Project on Hadoop - Case Study on Telecom Industry using HIVE||2h 4m|
|Project on Hadoop - Customers Complaints Analysis using HIVE/MapReduce||53m|
|Project on Hadoop - Social Media Analysis using HIVE/PIG/MapReduce/Sqoop||3h 37m|
|Project on Hadoop - Sensor Data Analysis using HIVE/PIG||4h 31m|
|Project on Hadoop - Youtube Data Analysis using PIG/MapReduce||3h 07m|
|Hadoop and HDFS Fundamentals on Cloudera||1h 26m|
|Project on Hadoop - Log Data Analysis||1h 33m|
|SPSS GUI and Applications||1h 16m|
|Project on SPSS - Correlation Techniques||2h 25m|
|Project on SPSS - Linear Regression Modeling||3h 16m|
|Project on SPSS - Multiple Regression Modeling||2h 35m|
|Project on SPSS - Logistic Regression||2h 04m|
|Project on SPSS - Multinomial Regression||2h 2m|
|SPSS GUI for Statistical Analysis||2h 08m|
|Projects on BI Tools and Tableau Analytics||5h 48m|
|Business Intelligence with Tableau||5h 47m|
|Tableau Features Hands-on!||5h 47m|
|Project on Tableau - Super Store Business Requirements||46m|
|Analytics using Tableau||9h 03m|
|Statistical Analysis using Minitab - Beginners to Beyond||4h 29m|
|Minitab GUI and Descriptive Statistics||2h 48m|
|ANOVA in Minitab||53m|
|Correlation Techniques in Minitab||2h 21m|
|Project on Minitab - Regression Modeling||9h 54m|
|Minitab Predictive Modeling using Excel||56m|
|MATLAB - Beginners||2h 7m|
|MATLAB - Intermediate||47m|
|MATLAB - Advanced||4h 9m|
|Oracle SQL||18h 6m|
|Oracle PLSQL||13h 21m|
|Oracle DATABASE Admin DBA 1 Course||9h 45m|
|Machine Learning with Tensorflow||13h 18m|
|Hands-on Deep Learning Training||11h 34m|
|Project - Exploratory Data Analysis EDA using ggplot2, R and Linear Regression||2h 08m|
|Project on R - HR Attrition and Analytics||2h 52m|
|Project - Logistic Regression using SAS Stat||4h 33m|
|Project - Linear Regression in Python||2h 15m|
|Project on Python Data Science - Predicting the Survival of Passenger in Titanic||2h 11m|
|Project on R - Card Purchase Prediction||2h 31m|
|Project on Machine Learning - Develop Movie Recommendation Engine with Python||53m|
|Employee Attrition Prediction using Random Forest Technique and R||2h 2m|
|Project on Term Deposit Prediction using Logistic Regression CART Algorithm||1h 43m|
|Poisson Regression Project using SAS Stat||2h 26m|
|Machine Learning Project using Caret in R||1h 6m|
|Forecasting the Sales using Time Series Analysis in Python||2h 29m|
|Course Name||Data Science course UK|
|Deal||You get access to all videos for the lifetime|
|Hours||632+ 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 each76 course, 60 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|
|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 TrendThe 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]
[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.
- 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.
- 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.
Seaborn-Statistical Data Visualization06.51
Creating Pie Charts06.03
Decision Tree Classifier06.57
- 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.
Business Analytics using R
Amazing First Sashay with Customer Analytics
Good Introduction to Marketing Analytics
Effective Tool for dashboard creation