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DATA SCIENTIST Course Bundle - 150 Courses in 1
608+ Hours of HD Videos
Verifiable Certificate of Completion
* One Time Payment & Get Lifetime Access
What you get in this DATA SCIENTIST Course Bundle - 150 Courses in 1?
Course Completion Certificates
Mobile App Access
About Data Science course UK
|Data Science course UK
|You get access to all videos for the lifetime
|608+ Video Hours
|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.
|Anyone serious about learning data science and wants to make a career in analytics
|Basic knowledge of data and analytics
|What do you get?
|Certificate of Completion for the course
|Course Completion 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
|1 GB RAM or higher
|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 Details Machine Learning with Python 2023 5h 17m ✔ Machine Learning with Python Case Study - Covid19 Mask Detector 2h 05m ✔ Deep Learning: Automatic Image Captioning for Social Media with Tensorflow 2h 23m ✔ Supervised Machine Learning in Python 8h 37m ✔ Predictive Analytics and Modeling with Python 8h 27m ✔ Matplotlib for Python Data Visualization - Beginners 4h 12m ✔ Matplotlib for Python Data Visualization - Intermediate 2h 53m ✔ Matplotlib for Python Data Visualization - 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 25m ✔ 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 7m ✔ Random Forest Algorithm using Python 1h 27m ✔
MODULE 2: Data Science with R & Python Essentials Training
Courses No. of Hours Certificates Details 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 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 53m ✔ 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 23m ✔ 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 Details 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 Details Big Data and Hadoop Training | Online Hadoop Course 2h 9m ✔ 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 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 ✔
MODULE 5: Learning from Projects & Practicals
Courses No. of Hours Certificates Details 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 2023 - Beginners 1h 07m ✔ SPSS 2023 - 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 ✔ 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 2023 4h 21m ✔ 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 34m ✔
MODULE 6: Minitab and MATLAB
Courses No. of Hours Certificates Details Minitab for Beginners - 2023 1h 15m ✔ Advanced Minitab Training - 2023 4h 39m ✔ Minitab Practical - Impact of Predictors on Response 1h 36m ✔ 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 Details Oracle SQL 17h 32m ✔ Oracle PLSQL 13h 2m ✔ Oracle DBA 1 9h 27m ✔ Machine Learning ZERO to HERO - Hands-on with Tensorflow 13h 03m ✔ 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 4m ✔ 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 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.
- 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