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DATA SCIENTIST - Specialization | 150 Course Series
608+ Hours of HD Videos
150 Courses
Verifiable Certificate of Completion
One year access
* One Time Payment & Get Lifetime Access
What you get in this DATA SCIENTIST - Specialization | 150 Course Series?
608+ Hours
150 Courses
Course Completion Certificates
Lifetime Access
Self-paced Courses
Technical Support
Mobile App Access
Case Studies
About Data Science Course in London
Course Name | Data Science Course in London |
Deal | You get access to all videos for the lifetime |
Hours | 608+ 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 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.
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MODULE 1: Data Science with Python Essentials Training
Courses No. of Hours Certificates Details Machine Learning with Python 2024 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 ✔ AI Machine Learning in Python 8h 37m ✔ Predictive Analytics and Modeling with Python 8h 26m ✔ 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 51m ✔ NumPy and Pandas Python 4h 8m ✔ Pandas Python Case Study - Data Management for Retail Dataset 3h 22m ✔ 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 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 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 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 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 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 51m ✔ Apache Oozie 2h 11m ✔ Apache Storm 2h 4m ✔ Apache Spark - Beginners 1h 4m ✔ Apache Spark - Advanced 5h 49m ✔ 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 2024 - Beginners 1h 07m ✔ 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 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 28m ✔ -
MODULE 6: Minitab and MATLAB
Courses No. of Hours Certificates Details 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 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?
Data Science is a broad field that is created through a combination of Technological (Programming skills), Mathematical (Statistics, Calculus Probability), and Business knowledge and understanding.
It deals with extracting, analyzing, and understanding different forms of Data. Data Science Course covers a wide range of software, Data Processing, and analyzing tools, programming languages, and algorithms to gain insights, discover hidden trends and complex behaviors of the Data. Data Science Course in recent has gained a lot of attention to the demand it has in almost all the fields. Most of the businesses that happening around the world use Data as a source for their decision making.
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]
Which Skills will you learn in this Course?
This Data Science Course in London offers a deep and wide range of skills set from Programming to statistics and machine learning to deep learning algorithms. The skills you will attain from this course could make you an expert Data Analyst, Data Scientist, Business Analyst, and Machine Learning Engineer.
Machine learning algorithms such as Regression, Clustering, Classification, and Deep Learning algorithms like Neural Networks, Image processing techniques, and prominent libraries such as Pandas, Matplotlib, Scikitlearn, Big Data software such as Hadoop and Splunk is covered from this Data Science Course in London. Advanced analytics such as Time Series Analysis, Multivariate, Market Basket, Fraud analytics, Customer Analytics, Marketing Analytics, and Pricing Analytics and also advanced visualizations techniques in Tableau are some of the skills you will master from this course.
Pre-requisites
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- There is not much prerequisite for this Data Science Course in London other than some basic understanding of the Big Data technologies. Other than that, the programming skills such as Python or R is very simple and basic easy to understand and numerical computing packages like Scikitlearn will make the task of building machine learning models easy and Visualization tools like Tableau are easily understandable and creating attractive visualization charts in Tableau is easy.
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- Since this Data Science Course covers from scratch there is a real prerequisite needed and after the end of this course, you can achieve a complete skill set to become a Data Scientist.
Target Audience
- Anyone who likes to make a career in Data Science domain, or changes their current working domain and moves towards the Data Science platform can take up this Data Science Course in London. College graduates or IT professionals who want a move towards this Data Science field can take up this course it will help them achieve the skill set required in the Data Science field. Other than those people who want to learn specific topics or technology in the Data Science field can also take up this course for a complete knowledge in that particular topic. In general, any individual who is interested in gaining knowledge of the Data Science domain could take up this Data Science Course in London.
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.
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Career Benefits
- This course covers all the topics from Mathematics to Programming to Visualization techniques that are needed for a Data Scientist role. The whole module that is provided is based on recent trends and growing job opportunities in the Data Science world. Many people who are working in different domains are shifted and starting to shift their careers towards Data Science since the field has achieved such a reputation in recent times. Since the module provided, allows Hands-on training and project experiences, upon completion of the course you will attain the complete skill set that a Data Scientist requires and it will lead to a good career ahead
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