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Data Science Course Dubai - 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 welcomes freshers and professionals to get benefit from data science training in Dubai, which will help them pass the Data Science certification exam with ease. This online training course is for both beginners and experts who wish to learn more about data structures and data manipulation, as well as various algorithms, techniques, learning patterns, data modeling, and tools used in data execution and analysis. Our complicated learning paradigm can assist you in improving and refining your skills in this competitive field. You will receive exceptional support and real-time project assistance throughout the training session. To get the most out of your Data Science certification course in Dubai, enroll today.
Prerequisites
To apply for the Data science course in Dubai, you need to either:
- You need to have a good foundation in mathematical concepts like linear algebra, calculus, probability and statistics
- You need to know at least one programming language like Python or R. You need to have a good understanding of OOPs concepts, algorithms and data structures.
- You need to have some basic data analysis and data visualisation skills.
Data Science Course Dubai - Course Content
We at HKR trainings provides 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
Data science project
How Retail Companies Use Data Science To Manage The Inventory.
Description: Analyses is used to optimize product placements on shelves or to optimize inventory to be stored in warehouses using .....industry examples. Through this project, students can learn about the fixed schedule of product optimization from the racks to the storage facility. This gives them insight into the regular occurrences in the retail sector. Read more
Understand How Insurance Companies Make Use Of Data Science In Their Projects On Insurance.
Description: According to the 2013 Insurance Predictive Modeling Survey, the use of predictive analytics has increased significant.....ly in insurance companies, particularly for the largest companies. Whereas the survey reported an increase in predictive analytics across the industry, all participants from companies that write more than $1 billion in standard insurance use predictive modelling especially in comparison to 69% of the company. Read more
Social Media Suggestion
Description: The program is based on mapping the interaction of the user, providing him with various suggestions and helping to re.....duce forgery by analyzing the data of the customers. Read more
Corporate Training
Our Learners
Data Science online Course in Dubai - Objectives
The following list of things can be learned or explored during the data science course in Dubai. 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 Dubai will teach you how to use Tableau to analyze data and create interactive dashboards.
The Data Science training Certification offered in Dubai 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
Candidates interested in learning or advancing their careers can enroll in a Data science course in Dubai. Basic statistics and programming language expertise are also advantageous.
To start with this Data Science Course, you need to either click on the Enroll 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 Support 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 Dubai very quickly.
Our trainers for Data Science training are professionals with more than ten years of work experience. They will provide you with Data Science Training. They have a flair for making learning fun and easy. So you will get the best Training in Data Science.
Getting a Data Science Certification will differentiate you from the non-certified people. It will boost your skills, confidence, and career. It will help you to get a salary hike. It will also help you to obtain better job opportunities with the best package.
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, you will also get assistance in resume preparation 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.
FAQs
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.
The demand for Data Science is very high, and the salaries for the skilled professionals are competitive with numerous perks. Moreover, there are a number of opportunities for advancements in the future. Therefore the data science career is promising. So, you can blindly choose data science as your career option.
In order to learn Data Science, you need to have some basic knowledge of various programming languages like C/C++, Java, SQL, Perl and Python. At the same time, Python is the essential programming language for data science professionals.
Data Science is quite a difficult course as it includes math, statistics, computer skills, etc. However, at HKR Trainings we make your Data Science course very easy. If you are an individual interested in building your career in Data Science, HKR Trainings can be your key to a successful career in Data Science.
Yes. Data science requires Python. Python is an open-source language that is easy to use. So, Python is the widely used programming language by Data Scientists. You can even use the R programming language to replace Python for Data Science.
At present, the demand for Data Science is very high and is expected to increase in the future. Moreover, data scientists are the most sought after professionals in the world. With the evolution of technology, the number of job opportunities in data science is also increasing.
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