Data Science Course in London

Get Your Dream Job With Our Data science course in London

HKR Trainings gives potential learners the ideal and industry-oriented Data science course in London. World-class business experts with vast experience in data science and machine learning technologies teach the data science course. Learn firsthand how to spot technological advancements like R, Python, Tableau, Hadoop, and Spark...... You will be able to examine all of the organization's data with ease after completing the Data Science programme. As part of your training, you will be asked to work on a real-world project in order to gain practical experience with the subject. Authorized Data Science mentors in London can assist you in completing the Data Science certification course. Read more

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Why should I learn Data Science?

Any analytics firm's professional player is the Data Scientist. Data scientist.....s continue to rank #1 in Glassdoor's top 25 occupations for 2019. In today's market, data scientists are few, costly, and in high demand. As a Data Scientist, you must first understand the business challenge, then build a predictive analytics strategy, retrieve and structure the necessary data, apply algorithms or technologies using the appropriate tool, and finally make data-backed recommendations. Read more

Data scientists are rare and expensive and on demand in today's market.

As a Data Scientist, you need to know the business problem, develop a predictive..... analytics strategy, retrieve and format the required data, apply algorithms or technologies using the right tool, and end up making data-backed suggestions. Read more

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Data Science Course London - Course Overview

Data science is a field that extracts information and expertise from a variety of structured and unstructured data using analytical techniques, procedures, approaches, and technologies. Data mining, machine learning, and big data are all connected to data science. Data science is a "concept that combines statistics, predictive analytics, and existing methodologies" with the goal of using data to "collect and explain actual phenomena." It draws on ideas and methods from a variety of subjects, including mathematics, statistics, computer programming, domain knowledge, and computational biology.

HKR trainings Data science training in London will assist newcomers and working professionals in passing the Data Science certification exam with comfort. Data Cleansing, Data Extraction, Data Integration, Building Prediction Models, Data Mining, and Data Visualization are just a few of the topics covered in our Data Science programme. Hypothesis testing, statistical analysis, machine learning, text mining, natural language processing (NLP), regression models, predictive analytics, R Studio, Tableau, and programming languages such as R for data science and Python for data science are all covered extensively as part of this 160-hour training. This data science online course gives students the opportunity to work on more than 60 assignments as well as a capstone project.. Enroll now to get the most out of your London Data Science certification course.

Data Science Course London - Course Content Download Curriculum

We at HKR trainings provide an optimized Data Science course structure that helps the individual to gain the concepts easily. Now let's explore each module one after the other.

In this module, you are going to learn about the various Data Science concepts, as follows:

  • Introduction to Data Science, Importance of data science, applications, lifecycle, and components.
  • Big data Hadoop, machine learning and deep learning
  • Introduction to R programming and R studio.
  • Introduction to data exploration
  • Importing and exporting data to and from external sources
  • Data exploratory analysis
  • Data Frames, factors, loops, operators, conditional and looping statements, user-defined functions and data types, etc.
  • Introduction to data manipulation
  • Introduction to dplyr package
  • Briefing about functions and combining different features with the pipe operator
  • Implementing SQL operations with sqldf.
  • Introduction to data visualization
  • Explaining different graphs functions and it's implementations
  • Multivariate analysis with geom_boxplot
  • Univariate analysis with a barplot
  • Creation of barplots
  • Visualization with Plotly
  • Working with themes and coordinates to present graphs more visually and clearly.
  • Geographic visualization with ggmap() and building applications with shinyR.
  • Need for statistics
  • Categories of statistics
  • Correlation and covariance, standardization, normalization, normal distribution, chi-square testing, ANOVA, and binary distribution.
  • Introduction to machine learning, linear regression, predictive modeling, formulas, assumptions, and building a simple linear model
  • Introduction to logistic regression
  • Comparison of different types of regressions.
  • Confusion matrix the accuracy of a model, threshold evaluation with ROCR, and understanding qqnorm() and qqline()
  • Building linear models with multiple independent variables.
  • Introduction to logistic regression
  • Concepts of logistic regression
  • Building a simple binomial model
  • Finding out the right threshold using the ROC plot
  • Real-time applications of logistic regression.
  • Classification and it's techniques
  • Introduction to decision trees, algorithm and building a decision tree in R
  • Confusion matrix, regression trees vs. classification
  • trees Introduction to bagging
  • Random Forest and its implementation in R
  • Naive Bayes and it's computing possibilities
  • Concepts of Impurity function, Entropy, Gini index, and Information gain for the right split of node
  • Overfitting, pruning basics, finding out the correct number of trees, and evaluating performance metrics.
  • Clustering, types and use cases
  • Introduction to unsupervised learning
  • Feature extraction, clustering algorithm, and k-means clustering algorithm
  • Briefing about k-means and its implementation
  • Explaining the Principal Component Analysis (PCA) in detail and implementing PCA in R
  • Introduction to association rule mining, advantages, types, measuring the association
  • rule mining and implementation.
  • Introduction to recommendation engines
  • How are recommendation engines implemented in R?
  • Recommendation engines use cases. Summary
  • AI and deep learning
  • Fundamental of Artificial Neural Networks
  • Tensor Flow
  • Computational frameworks for building AI models
  • Fundamental of tensorflow and working it with R
  • What is a time series?
  • Techniques, applications, and components of the time series
  • ARIMA model
  • Time series in R, sentiment analysis in R (Twitter sentiment analysis), and text analysis
  • What is the Bayes theorem?, Naïve Bayes Classifier?
  • How Naive Bayes classifier works and classifier building in Scikit-Learn.
  • classification model using Naïve Bayes and the zero probability problem
  • Introduction to text mining, use cases, and understanding and manipulating the text with 'tm' and 'stringR'.
  • Text mining algorithms and the quantification of the text
  • TF-IDF and after TF-IDF
We at HKR trainings provide the learners with practice Mock Interview Sessions and excellent Job Support at the end of the course.
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Data Science Course Online London - Highlights 100% Money Back Guarantee

30 Hrs Instructor-Led Training

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Real-world & Project Based Learning

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Data Science Training Course London - Advantages

This Technology Offers Excellent Career Opportunities Worldwide.

Salaries Offered for Certified Professionals is Very High and More Number of People Started Learning this Course.

It has a Great Learning Scope

Streamlined Work Process Helps You Execute all Complex Tasks Easily.

Fast track your career growth with Data science course in London Certification course.

Data Science online Course in London - Objectives

The following list of things can be learned or explored during the data science course in London. They are:

  • Learn everything there is to know about data structure and manipulation.
  • Learn about linear and non-linear regression models, as well as classification approaches for data analysis, and how to use them.
  • Learn about clustering, dimensionality reduction, linear regression, logistic regression, K-NN, and pipeline learning methods, as well as supervised and unsupervised learning models.
  • Use the SciPy package and its subpackages, such as Integrate, Optimize, Statistics, IO, and Weave, to perform technical and scientific computing.
  • Using the NumPy and Scikit-Learn packages, get experience in the field of mathematical computing.
  • Learn about the many components of the Hadoop ecosystem.
  • Work with HBase, its architecture, and data storage to get experience. Learn the differences between HBase and RDBMS, as well as how to partition data with Hive and Impala.
  • Learn about MapReduce and all of its features, as well as how to use tools like Sqoop and Flume to ingest data.
  • Master the time series modeling and recommendation engine's basic concepts. Gain a practical understanding of machine learning algorithms, principles, and applications.
  • This data science training in London will teach you how to use Tableau to analyze data and create interactive dashboards.

The Data Science training Certification offered in London was designed for professionals with and without work experience in any of the profiles below: 

  • IT Professionals
  • Analytics Managers
  • Business Analysts
  • Banking and Finance Professionals
  • Marketing Managers
  • Supply Chain Network Managers
  • Beginners or Recent Graduates in Bachelors or Master’s Degree

Any learner who wants to get the most out of HKR trainings Data Scientist Course in London should have the following skills:

  • A fundamental understanding of statistics and related principles is required.
  • At least one of the top/relevant programming languages is required.

To start with this Data Science training, you need to either click on the Enrol Now icon at the top of the screen, or contact us at our customer care number, or just enter your details in the pop-up and submit it. Our Team will contact you as soon as possible and give you more information regarding the training process.

Immediately after the successful completion of the course which is accompanied by the real time projects task and assignments, HKR trainings offers you the course completion certificate. This certification differentiates you from the other non-certified peers and also helps to get a job in any company in London very quickly.

The Data Science certified professionals at HKR trainings in London deliver the lectures to the individuals to unleash their abilities in this technology.

The benefits you can gain upon the completion of the certification are , you will be given higher preference for competitive jobs related to analytics.

Yes! Right from the first day of your Data Science training, our trainers make sure that you are clear with all the concepts. And when you complete your course, you will also get assistance in resume preparation, etc., which gives you the confidence to clear your interview. Moreover, We are also tied up with some corporate companies. So when they have a requirement, we forward your profiles to them.

Interested in our Data science course in London program ?

Data Science Course London Options

We follow four formats for Data Science Course London for the flexibility of our students

Live Online Training

  • » Interact live with industrial experts.
  • » Flexible Schedule.
  • » Free Demo before Enroll.

1:1 Live Online Training

  • » Dedicated Trainer for you.
  • » 1:1 Total Online Training.
  • » Customizable Curriculum.


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Self-Paced E-Learning

  • » Get E-Learning Videos.
  • » Learn Whenever & Wherever.
  • » Lifetime free Upgrade.

Corporate Training

  • » Customized Training.
  • » Live Online/Classroom/Self-paced.
  • » 10+ years Industrial Expert Trainers.

Data science Certification

Certifications provide evidence of the attributes and expertise that you possess. If you are well certified, they will help you to lift your professional career. Data scientist certifications are broadly classified as below:

Microsoft Certified Solution Expert:

An MCSE certification covers all the IT skills to become a data scientist. For the data science certification, Microsoft provides two courses, namely:

  • Focus on data management and analytics
  • And business applications.

Cloudera Certified Professional Data Engineer:

This certification shows your essential skills and in-depth experience as a data analyst.

HKR effectively designed the data science course by covering all the concepts required to clear all the certification mentioned above exams. Once you are done with your complete training, you need to work on real-time projects to gain practical experience. We will provide a course completion certificate. Join HKR Trainings today to improve your tech skills as a data scientist.

HKR Trainings Certification

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Data science projects

The best way to learn something is by doing. So when you complete your theoretical sessions on Data Science training we provide you with real time projects. This hands-on learning will help you to remember the concepts better and offer you a valuable hands-on experience, making you more equipped to apply your knowledge in your regular work. So, at HKR Trainings, we provide our learners with real time projects which help them to learn the concepts practically. The real time projects we offer will also help the learners to test themselves on how well they are acquainted with the concepts of Data Science. 

When you complete your Data Science Course in London, we offer you the following projects:

  • Caption generator for Images
  • Movie recommendation System
  • Traffic Sign Recognition
  • Credit card Fraud detection application

In this project, we will be creating an application that will be generating a caption for the given image. Generating a caption for an image will be a complicated task for the machines while compared to human beings. So in this project we will be using Convolutional neural network along with recurrent Neural Network for developing an image caption generator.

In this project, we will be creating an application that suggests the movie recommendation to the viewer based on our interests and the browser history. 

In this Project we will be creating an application that will recognize the traffic signals. Traffic rules are very important and we must follow these rules. So with the help of this application we can prevent accidents.

With the advancements in technology, credit card fraud has also been increasing day by day. Through this project, you will be creating an application that can detect credit card fraud by distinguishing between fraudulent and non-fraudulent transactions.

Our Learners



Hello everyone, Srinu just completed a data science course in London. When I was trying to complete..... the projects in my Python Data Science class, I stumbled into issues. The Teaching Assistant was helpful and gave step-by-step instructions for resolving the issues via web chat sessions.. A perfect place to build your tech skills. Read more



HKR trainings is the most effective online learning platform. This is where I received my Data Scien.....tist certification. The instructors are quite educated. It has a well-structured curriculum. The manner in which the information is presented is quite admirable. HKR trainings deserves praise Read more



HKR trainings is a platform for anyone interested in Data Science, Artificial Intelligence, or Cloud..... Computing. This is one of the best online instructor-led portals I've come across, and I highly suggest it. After earning the certification, I was able to advance my career from Hadoop Developer to Big Data Engineer, resulting in a significant pay raise. Read more


Most of the time data scientists spend in data cleaning, finding the hidden patterns, making the data ready for models. Most of their time is spent in documenting the discoveries and delivering the final product.

Some of the most popular data science tools are SAS, BigML, Apache Spark, MATLAB, Excel, Tableau, NLTK, D3.js, etc.

Some of the technologies that will be used in data Science are Internet of things, Machine Learning, Decision Intelligence, Edge computing, streaming analytics, etc.

As per the expectations in the past, data science will be less artificial and can be automated. Human in the loop artificial intelligence and augmented Intelligence are expected to be a trend in data science.

At HKR Trainings, You can learn data science within 25 to 30 hours. We also offer Weekend and fast track sessions for interested individuals to complete the course as per their convenience and requirement.

Yes. Even without any coding skills one can become a data scientist. Data science field is not just for the individuals with coding skills. Anyone from the mathematics, statistics, business analytics domain can also shift their career in Data science.

Every class is recorded. If you have missed your class, you can learn those concepts from the recorded sessions of the missed class. So, No worries! 

Yes! Right from the first day of your Data Science training, our trainers make sure that you understand all the concepts and provide you with complete guidance to reach your dream job. And when you complete your course, we will also assist you in your resume preparation which will give you the confidence to clear your interview. Moreover, We are also tied up with some corporate companies. So when they have a requirement, we forward your profiles to them.

At HKR, we provide a free demo session for training seekers so they can check our quality and method of education before they enroll.

You can contact our customer care number if your query does not belong to any of the questions we have addressed in this article. We will get back to you as soon as possible.

HKR Trainings assures that the learners get a quality course from our trainers. You (the learners) will have lifetime access to recorded sessions. So in case of any doubts, you can watch these recorded sessions or even can ask your trainers to clarify them. Moreover, you will also be working on a real-time project which will help you understand the concepts more clearly. So there is no question of not being satisfied.

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