Programming Basics &Environment Setup hr

Installing Anaconda, Anaconda, Basics, and Introduction, Get familiar with version control, Git, and GitHub.Intro to Jupyter Notebook environment. Basics Jupyter notebook Commands.Programming language basics.

Python Programming Overview hr

Python 2.7 vs Python 3,Writing your First Python Program
Lines and Indentation,Python Identifiers,Various Operators and Operators
Precedence ,Getting input from User,Comments,Multi line Comments.

Strings, Decisions And Loop
Control hr

Working With Numbers, Booleans and Strings,String types and
formatting, String operations Simple if Statement, if-else Statement
if-elif Statement. Introduction to while Loops. Introduction to for Loops,Using
continue and break.

Python Data Types hr

List,Tuples,Dictionaries,Python Lists,Tuples,Dictionaries,Accessing Values,Basic Operations,Indexing, Slicing, and Matrixes,Built-in Functions & Methods,Exercises on List,Tuples And Dictionary

Functions And Modules hr

Introduction To Functions – Why Defining Functions. Calling Functions
Functions With Multiple Arguments.Anonymous Functions – Lambda
Using Built-In Modules, User-Defined, Modules, Module Namespaces,Iterators And Generators

File I/O And Exceptional Handling and Regular Expression hr

Opening and Closing Files,open Function,file Object Attributes
close() Method ,Read,write,seek.Exception Handling, try-finally Clause
Raising Exceptions, User-Defined Exceptions. Regular Expression- Search
and Replace. Regular Expression Modifiers. Regular Expression Patterns,re module.

Data Analysis Using Numpy And
Pandas hr

Introduction to Numpy. Array Creation, Printing Arrays, Indexing, Slicing and Iterating, Shape Manipulation -Changing the shape, stacking, and splitting of the array. Vector stacking, Broadcasting.

Pandas : Introduction to Pandas,Importing data into Python
Pandas Data Frames, Indexing Data Frames, Basic Operations With Data frame,
Renaming Columns, Subletting, and filtering a data frame.

Data Visualisation using Python:
Matplotlib and Seaborn hr

Matplotlib: Introduction,plot(),Controlling Line Properties,Subplot with Functional Method, MUltiple Plot, Working with Multiple Figures,Histograms

Seaborn :Intro to Seaborn And Visualizing, statistical relationships , Import and Prepare data.Plotting with categorical data and Visualizing linear relationships Seaborn Exercise

Tools Covered

Fundamentals of Math and
Probability hr

Basic understanding of linear algebra,Matrics, vectors. Addition and
Multimplication of matrics.Fundamentals of Probability
Probability distributed function and cumulative distributed function.

Descriptive Statistics hr

Describe or sumarise a set of data Measure of central tendency and
measure of dispersion.The mean,median,mode, curtosis and skewness. Computing Standard deviation and Variance.Types of distribution.

Inferential Statistics hr

What is inferential statistics,Different types of Sampling techniques
Central Limit Theorem,Point estimate and Interval estimate
Creating confidence interval for,population parameter
Characteristics of Z-distribution and T-,Distribution. Basics of Hypothesis
Testing. Type of test and rejection,region. Type of errors in Hypothesis yesting,

Hypothesis Testing hr

Hypothesis Testing Basics of Hypothesis Testing ,Type of test and Rejection Region,Type o errors-Type 1 Errors,Type 2,Errors. P value method,Z score
Method. The Chi-Square Test of, Independence.Regression. Factorial Analysis of
Variance. Pearson Correlation, Coefficients in Depth. Statistical,Significance, Effect Size

Data Processing & Exploratory
Data Analysis hr

What is Data Wrangling, Data Pre-processing and cleaning?
How to Restructure the data? What is Data Integration and Transformation

Introduction To Machine Learning 8hr

What is Machine Learning and its Challenges?
Introduction to Supervised Learning, Introduction to Unsupervised
Learning, What is Reinforcement Learning? Machine Learning applications
Difference between Machine Learning and Deep Learning

Supervised Learning 8hr

Support Vector Machines,Linear regression,Logistic regression
Naive Bayes, Linear discriminant analysis, Decision tree
the k-nearest neighbor algorithm, Neural Networks (Multilayer perception) Similarity learning

Linear Regression 8hr

Introduction to Linear Regression,Linear Regression with Multiple
Variables, Disadvantage of Linear Models, Interpretation of Model Outputs
Understanding Covariance and Colinearity, Understanding Heteroscedasticity

Case Study – Application of Linear Regression for Housing
Price Prediction

Logistic Regression hr

Introduction to Logistic Regression.–Why Logistic Regression .
Introduce the notion of classification, The cost function for logistic regression
Application of logistic regression to multi-class classification.
Confusion Matrix, Odd’s Ratio, And ROC Curve
Advantages And Disadvantages of Logistic Regression.

Decision Trees hr

Decision Tree – data set How to build decision tree? Understanding Kart Model
Classification Rules- Overfitting Problem. Stopping Criteria And Pruning. How to Find the final size of Trees? Model A decision Tree.
Naive Bayes. Random Forests and Support Vector Machines.Interpretation of Model Outputs

Unsupervised Learning hr

Hierarchical Clustering k-Means algorithm for clustering –groupings of unlabeled data points.Principal Component Analysis(PCA)-Data. Independent components analysis(ICA) Anomaly Detection Recommender System-collaborative
filtering algorithm

Case Study– Recommendation
Engine for e-commerce/retail chain

Natural language Processing hr

Introduction to natural Language Processing(NLP).
Word Frequency Algorithms for NLP Sentiment Analysis

Case Study :Twitter data analysis using NLP

Introduction to Time Series Forecasting hr

Basics of Time Series Analysis and Forecasting ,Method Selection in Forecasting,Moving Average (MA) Forecast Example,Different Components of
Time Series Data, Log Based Differencing, Linear Regression For Detrending

ARIMA and Multivariate Time
Series Analysis hr

Introduction to ARIMA Models,ARIMA Model Calculations,Manual ARIMA
Parameter Selection,ARIMA with Explanatory Variables Understanding Multivariate Time Series and Their Structure,Checking for Stationarity and Differencing the MTS

Case Study : Performing Time Series
Analysis on Stock Prices

Introduction To R hr

Installation Setup Quick guide to RStudio User Interface
RStudio’s GUI3 Changing the appearance in RStudio
Installing packages in R and using the library Development Environment Overview
Introduction to R basics Building blocks of R Core programming principles
Fundamentals of R

Programming with R hr

Creating an object,Data types in R,Coercion rules in R
Functions and arguments, Matrices, Data Frame, Data Inputs and Outputs with R, Vectors and Vector operation Advanced Visualization, Using the script vs. using the console

Manipulating Data hr

Data transformation with R – the Dplyr package – Part
Data transformation with R – the Dplyr package – Part
Sampling data with the Dplyr package,Using the pipe operator in R
Tidying data in R – gather() and separate(),Tidying data in R – unite() and
spread()

Visualizing Data hr

Intro to data visualization,Introduction to ggplot2
Building a histogram with ggplot2, Building a bar chart with ggplot2
Building a box and whiskers plot with ggplot2, Building a scatterplot with ggplot2

Introduction to Deep Learning And Tensor Flow hr

Neural Network Understaing Neural Network Model Installing TensorFlow Simple Computation ,Contants And Variables. Types of file formats in TensorFlow. Creatting A Graph –Graph Visualization. Creating a Model– Logistic Regression Model Building using tensor flow TensorFlow Classification Examples

Introduction to Tensor Flow hr

Installing TensorFlow Simple Computation,Contents And Variables Types of file formats in TensorFlow Creatting A Graph – Graph Visualization Creating a Model – Logistic Regression Model Building TensorFlow Classification Examples

Understanding Neural Networks With Tensor Flow hr

Basic Neural Network, Single Hidden Layer Model,Multiple Hidden Layer Model,Backpropagation – Learning,Algorithm and visual representation,
Understand Backpropagation – Using Neural Network Example TensorBoard
Project on backpropagation

Convolutional Neural Network(CNN) hr

Convolutional Layer Motivation ,Convolutional Layer Application,
The architecture of a CNN, Pooling Layer Application Deep CNN, Understanding and Visualizing a CNN,Project: Building a CNN for Image Classification

Most of the data science domain jobs are performed by data scientists. The main role is to collect relevant data, process it, and give outputs. Anyone with any domain knowledge can become a data scientist in the UAE. Primary responsibility of a data scientist is to resolve domain-specific issues. Applying data science algorithms for solutions.

The common job profiles for data scientists in UAE: data analysts, data engineer, and more. Dubai is known for such job profiles. At present, the demand for data scientists in Dubai is surging. But, the supply for Data scientists is low. Thus, Dubai is now ready to witness a huge number of data scientists. Our Data Science course in Abu Dhabi can minimise this gap.

Our data science course in Dubai is designed for professionals and non-professionals. Anyone from any domain can learn this data science course in UAE. A learner with at least one year of working experience is capable of taking up this course. Fresh college graduates can take up this course easily.

Definitely, Learnbay offers multiple data science in Dubai with flexibility. Learners can opt their own mentors! Isn’t that amazing!

Learnbay could be the best data science institute in Dubai, UAE. There are multiple reasons to choose the data science course in Sharjah, UAE:

• There are currently more than 1 lakh job openings across India for data science roles.
• Interestingly, with a minimum salary of INR 10 lakh to 20 lakh per annum.
• Data Science demands young data science talent. Presently, it can barely catch up with the supply.
• Once you are well-versed in Data Science, you can work in many roles associated with it. Data science is a large domain.
• It is also a safe career to pursue. Since the scope for the field to grow is high, the demand for data scientists will grow.
• A well-structured curriculum offers students a clear insight into what to learn. It also helps in interacting with other researchers in the field. Also, helps in applying theoretical concepts to business problems.

Learnbay Data science Institute in Dubai offers IBM collaborated certification. It is given at the end of course. IBM has recognised the Learnbay efforts internationally in promoting data science. IBM has partnered with us and agreed to issue certificates to our learners.

All the learners can avail this certificate at the end of the data science course online in Dubai. All you have to do is obtain a good score at the end of assessments. Learnbay shall regularly keep track of the learners. The best performers are also eligible for the job assistance program. This course prepares you to face real world problems. Prepares every candidate for mock interviews and job appearances. Anyone can crack a job at any corner of the world with our high-end course.

Learnbay institute is ideal online training for data science in Dubai. We provide the best data science course in Dubai and other parts of the UAE. The primary focus of Learnbay is to provide:

• Provide one to one interaction with the mentor
• Give flexibility in choosing a mentor
• Provide real-time data analysis demonstration
• Offer industrial training
• Deliver hands-on expertise in Domain elective projects
• Access to lectures and notes after course completion
• Provide job assistance and career counselling
• Provide 24/7 support to learners

What is the total duration of this Data Science course in Dubai?

The duration of this data science course in Dubai varies. It depends on the type of Data Science course one chooses. The maximum duration of a data science course in Dubai is 6 months to 12 months. It includes live lectures and hands-on practical training on industrial projects. The lectures are accessible even after a year of course completion

Can I pursue a Data Science course in Dubai after my graduation?

Yes, you can pursue a data science course in Dubai after graduation. You can choose the foundation program or the freshers program. We also have a special course in data science for professionals.

The programming languages taught in the data science course in Dubai are- Python language and R language, mySQL, and others. Special attention is paid to these two languages due to the high demand for model training.

What are the major industries to join after the Data Science course in Dubai?

Dubai is home to a diverse spectrum of heavy and light industries. It has high-tech and service sectors such as information technology (IT) and more.

The important features of the Learnbay data science course in Dubai are:

• Customised Data Science learning programs
• Domain specialisation elective for professionals
• Full-time student support
• Experienced mentors with professional skills
• Flexibility to choose mentors
• Real-time projects
• Hands-on practice for industrial projects
• Access to cloud lab for analysis demonstration
• Career counselling and job guidance
• Resume preparation
• Interview preparation

To pursue a career in data science, please enroll in Learnbay’s data science course in Dubai. Our incredible Data Science course will benefit you to master data science skills. It will help you to handle interviews with more confidence if you are looking for a job in the data science domain.

How to find the Data Science course in Dubai?

This Data Science course in Dubai provides hands-on experience and industry projects. Kindly visit Learnbay and enroll in the course immediately.

Should I get a data science certification? It’s the most perplexing question that every aspiring data scientist must confront. Additional queries follow this – Will it boost the weight of my resume, or will it assist me in landing a job? This ultimately results in increased stress and confusion.

A data science certification undoubtedly has several advantages. It demonstrates your love and passion for data science. Still, there is a caution — due to the surge in data science, many courses have become widespread or general.

Of course, the following books are obligatory reading materials for any data science professionals:

• Data Science From Scratch by Joel Grus
• Hands-on Machine Learning with Scikit-Learn,Keras,TensorFlow by Aurélien Géron
• Build a career in Data Science by Emily Robinson and Jacqueline Nolis

Flexible Two-Year Subscription

• The ability to attend numerous batches taught by a variety of trainers.
• Access to recordings of all our learnbay data science courses is perpetual.
• Possibility of switching batches between weekday and weekend sessions

I am not able to access the online Data science in Dubai. Who can help me?

Contact us via the form on the right side of any Learnbay page, the Live Chat link, or by contacting Help & Support.

Will a Data Science course in Dubai land me a good career?

Businesses are embracing digital transformation. The increased reliance on data makes a career in data science quite lucrative. Businesses are ramping up their digital activities. Also, the data science abilities will continue to be in high demand in the foreseeable future. Extensive use of Data Science has been observed in the past few years. Data Science plays a key role in surplus growth and profits. Additionally, in the current shortage, businesses are willing to offer greater wages. You can qualify for this rewarding job with Learnbay’s Data Science course in Delhi.

According to a 2017 IBM analysis, demand will climb another 28% by next few years. Adding 364,000 jobs (to 2.7 million). Substantially boosting demand. However, this Data Science course in Dubai covers all pertinent ideas in detail. Thus, making it simple to put your new AI Analytics skills to use.

Can a fresh graduate seek employment after completing this Data Science course in Dubai?

Companies are willing to pay greater wages to even entry-level data scientists. It is due to the increased demand for the position. However, one must demonstrate their data science expertise and get industrial exposure. Learnbay’s Data Science course in Dubai teaches essential skills to new graduates. Also, prepares them for the workforce by requiring them to work on real-world projects.

Our data science in Dubai are complete data study packages. Designed and upgraded as per the need of the world. All the young and beginners can start from our data science . Learnbay has sophisticatedly prepared the study plan for the learners. The past few years have been phenomenal. The reason we soared high on success is the development of new skills. The following skills are adopted by learners at the end of our course:

Data Science skills

Practically, the most critical data science skill is data analysis. Our course ensures to provide this skill through a data science course in Dubai. The data collection is a time taking process. But applying the appropriate algorithms to find useful patterns is equally challenging. The data representation into forms: histograms, box plots, heat maps is also important. With data analytics skills, a data enthusiast can perform all these jobs smoothly. Learnbay provides special training on data visualization in the data science curriculum. Gain Data Science skills for domain specialization too.

Coding proficiency

Data Science course in Delhi allow experts to learn these programming languages:

• Python
• C++
• Java
• JavaScript
• Shell
• TypeScript
• Scala
• R, and others.

We help you in becoming a coding ninja in the shortest time. Every Data Science industry demands an advanced level of coding knowledge. Learnbay’s curriculum is in accordance with that.

Data Engineering skills

Another efficient data science skill developed is data preprocessing and storing capacity. A data scientist must create, extract, transform, and develop pipelines. Learnbay industrial projects help in gaining mastery of the data engineering skills.

Building AI models

A data scientist shall become proficient in using the AI knowledge base. The applications allow them to identify relationships between different datasets. Model development requires intensive training and testing. The actual role of a data scientist is to develop the right models for data analytics.

Deployment of models & Security

After building an ML model, it is mandatory to decide if the model is appropriate. Considering certain key parameters is necessary while deploying a machine learning model. The parameters are based on performance, scalability, fault tolerance, availability, and resiliency.

Software security is another important aspect of data science learning. Securing the machine learning models requires a lot of training. Providing access to the authorized personnel is exceedingly important. A data scientist learns all these proficiency skills at Learnbay. In fact, at an affordable data science course fee.

Learnbay takes initiative to satisfy its learners to the fullest. We provide an interesting feature at the end of course completion. As the course curriculum ends, the candidates are provided with the IBM certification. This certificate adds immense weightage to your resume. It assists in grabbing the genuine and interesting job roles. In fact, the data science jobs in Dubai are very high paying.

Another impactful feature is the career counselling program and job assistantship. We ensure that every learner is professionally trained to crack a potential job. The simple step to avail this program is to remain consistent throughout the study. Students with best scores in regular assessments would be given priority. Surely, this would help a lot in getting hired by MNCs and technical corporations in UAE.