Why enroll for Data Science with Python course in Dubai?
According to the U.S. Bureau of Labor Statistics, there will be around 11.5 million new jobs for Data Science professionals by 2026
The median salary for an experienced Data Scientist is $1628,00 - Zip Recruiter
According to the TIOBE index, Python is one of the most popular programming languages in the world.
Data Science with Python Course in Dubai Benefits
Data science job opportunities are projected to increase by 30% annually, and proficiency in Python programming and data science can unlock vast job prospects. The rise in demand for skilled data scientists and machine learning engineers has prompted more businesses to incorporate machine learning into their operations and help companies analyze and process data, leading to quick and effective decision-making. Obtaining a Data Science and ML Certification from Edureka is the optimal way to secure a lucrative job in this field.
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Why Data Science with Python course from edureka in Dubai
Live Interactive Learning
World-Class Instructors
Expert-Led Mentoring Sessions
Instant doubt clearing
Lifetime Access
Course Access Never Expires
Free Access to Future Updates
Unlimited Access to Course Content
24x7 Support
One-On-One Learning Assistance
Help Desk Support
Resolve Doubts in Real-time
Hands-On Project Based Learning
Industry-Relevant Projects
Course Demo Dataset & Files
Quizzes & Assignments
Industry Recognised Certification
Edureka Training Certificate
Graded Performance Certificate
Certificate of Completion
About your Data Science with Python course
Data Science with Python Skills
Python Programming
Statistical Foundations
Data Analysis and Visualization
Supervised and Unsupervised Machine Learning
Database Integration with Python
Data Visualization Using Tableau
Data Science with Python Tools
Data Science with Python Course Curriculum in Dubai
Curriculum Designed by Experts
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Edureka's Data Science with Python Training in Dubai will provide hands-on training in Python. We provide live instructor-led training sessions that can help you master the fundamentals of Python. In this Edureka's Data Science Python training in Dubai, You will be taught the most fundamental principles of Python programming like Data Structure, data types, Strings, tuples lists, fundamental operations and functions, GUIs multi-threading, data Manipulation and Expressions, Networking Lambda expressions and more. Additionally, during the Data Science Python course, you will acquire a comprehensive understanding of Python concepts of OOPS and modules, Django framework, Database programming, and connectivity to many data sources.
Introduction to Data Science and ML using Python
16 Topics
Topics:
Overview of Python
The Companies using Python
Different Applications where Python is Used
Discuss Python Scripts on UNIX/Windows
Values, Types, Variables
Operands and Expressions
Conditional Statements
Loops
Command Line Arguments
Writing to the Screen
What is Data Science?
What does Data Science involve?
Era of Data Science
Business Intelligence vs Data Science
Life cycle of Data Science
Tools of Data Science
Hands-on:
Creating “Hello World” code
Variables
Demonstrating Conditional Statements
Demonstrating Loops
Skills You will Learn:
Basics of Python Programming
Command Line Parameters and Flow Control in Python
Data Handling, Sequences and File Operations
12 Topics
Topics:
Data Analysis Pipeline
What is Data Extraction?
Types of Data
Raw and Processed Data
Data Wrangling
Python files I/O Functions
Numbers
Strings and related operations
Tuples and related operations
Lists and related operations
Dictionaries and related operations
Sets and related operations
Hands-on:
Tuple - properties, related operations, compared with the list
List - properties, related operations
Dictionary - properties, related operations
Set - properties, related operations
Skills You will Learn:
Taking input from the user and performing operations on it
Data types in Python
Deep Dive – Functions, OOPs, Modules, Errors, and Exceptions
Performing data manipulation using various functionalities of the Pandas library in Python
Introduction to Machine Learning with Python
6 Topics
Topics:
What is Machine Learning?
Machine Learning Use-Cases
Machine Learning Process Flow
Machine Learning Categories
Linear regression
Gradient descent
Hands-on:
Linear Regression – Boston Dataset
Skills You will Learn:
Machine Learning concepts
Machine Learning types
Linear Regression Implementation
Supervised Learning - I
6 Topics
Topics:
What are Classification and its use cases?
What is a Decision Tree?
Algorithm for Decision Tree Induction
Creating a Perfect Decision Tree
Confusion Matrix
What is Random Forest?
Hands-on:
Implementation of Logistic Regression, Decision Tree, Random Forest algorithms
Skills You will Learn:
Supervised Learning concepts
Implementing various Supervised Learning algorithms
Evaluating model output
Dimensionality Reduction
6 Topics
Topics:
Introduction to Dimensionality
Why Dimensionality Reduction
PCA
Factor Analysis
Scaling dimensional model
LDA
Hands-on:
Implementing PCA
Scaling dimensional model
Implementing LDA
Skills You will Learn:
Implementing Dimensionality Reduction Technique
Supervised Learning - II
8 Topics
Topics:
What is Naïve Bayes?
How Naïve Bayes works?
Implementing Naïve Bayes Classifier
What is a Support Vector Machine?
Illustrate how Support Vector Machine works
Hyperparameter Optimization
Grid Search vs. Random Search
Implementation of Support Vector Machine for Classification
Hands-on:
Implementation of Naïve Bayes, SVM algorithms
Skills You will Learn:
Supervised Learning concepts
Implementing various Supervised Learning algorithms
Evaluating model output
Unsupervised Learning
7 Topics
Topics:
What is Clustering & its Use Cases?
What is K-means Clustering?
How does the K-means algorithm works?
How to do optimal clustering
What is C-means Clustering?
What is Hierarchical Clustering?
How does Hierarchical Clustering work?
Hands-on:
Implementing K-means Clustering
Implementing Hierarchical Clustering
Skills You will Learn:
Unsupervised Learning concepts
Implementation of various Clustering techniques
Association Rules Mining and Recommendation Systems
7 Topics
Topics:
What are Association Rules?
Association Rule Parameters
Calculating Association Rule Parameters
Recommendation Engines
How do Recommendation Engines work?
Collaborative Filtering
Content-Based Filtering
Hands-on:
Implementing Apriori Algorithm
Performing Market Basket Analysis
Skills You will Learn:
Data Mining using Python
Recommender Systems using Python
Reinforcement Learning (Self-Paced)
9 Topics
Topics:
What is Reinforcement Learning?
Why Reinforcement Learning?
Elements of Reinforcement Learning
Exploration vs. Exploitation dilemma
Epsilon Greedy Algorithm
Markov Decision Process (MDP)
Q values and V values
Q – Learning
Values
Hands-on:
Calculating Reward
Discounted Reward
Calculating Optimal quantities
Implementing Q Learning
Setting up an Optimal Action
Skills You will Learn:
Implementing Reinforcement Learning using Python
Developing Q Learning model in Python
Time Series Analysis (Self-Paced)
10 Topics
Topics:
What is Time Series Analysis?
Importance of TSA
Components of TSA
White Noise
AR model
MA model
ARMA model
ARIMA model
Stationarity
ACF & PACF
Hands-on:
Checking Stationarity
Converting non-stationary data to stationary
Implementing Dickey-Fuller Test
Plotting ACF and PACF
Generating the ARIMA plot
Skills You will Learn:
TSA Forecasting in Python
Model Selection and Boosting
7 Topics
Topics:
What is Model Selection?
Need for Model Selection
Cross Validation
What is Boosting?
How do Boosting Algorithms work?
Types of Boosting Algorithms
Adaptive Boosting
Hands-on:
Performing Cross Validation
Implementing AdaBoost using Python
Skills You will Learn:
Performing Model Selection
Boosting algorithms using Python
Statistical Foundations (Self-Paced)
8 Topics
Topics:
What is Exploratory Data Analysis?
EDA Techniques
EDA Classification
Univariate Non-graphical EDA
Univariate Graphical EDA
Multivariate Non-graphical EDA
Multivariate Graphical EDA
Heat Maps
Hands-on:
Implementing Graphical EDA Techniques
Implementing Non-Graphical EDA Techniques
Skills You will Learn:
Performing EDA on the dataset(s) in Python
Database Integration with Python (Self-Paced)
22 Topics
Topics:
Basics of database management
Python MySql
Create database
Create a table
Insert into table
Select query
Where clause
OrderBy clause
Delete query
Drop table
Update query
Limit clause
Join and Self-Join
MongoDB (Unstructured)
Insert_one query
Insert_many query
Update_one query
Update_many query
Create_index query
Drop_index query
Delete and drop collections
Limit query
Hands-on:
CRUD operations using Python MySql and MongoDB
Skills You will Learn:
Database management systems
Database Integration with Python
Working of database applications
Data Connection and Visualization in Tableau (Self-Paced)
9 Topics
Topics:
Data Visualization
Business Intelligence tools
VizQL Technology
Connect to data from the File
Connect to data from the Database
Basic Charts
Chart Operations
Combining Data
Calculations
Hands-on:
Connecting to data from File, Database, and Server
Performing operations on Hierarchies, Data Granularity and Highlighting feature
Creating calculated fields using basic functions
Defining LOD expressions
Creating Parameters
Performing User Input and What-if analysis
Skills You will Learn:
Data Distribution using various charts in Tableau
Combining Data using Joins, Unions and Data Blending
Sorting, Filtering and Grouping Techniques
Table Calculations in Tableau
Advanced Visualizations (Self-Paced)
10 Topics
Topics:
Trend lines
Reference lines
Forecasting
Clustering
Geographic Maps
Using charts effectively
Dashboards
Story Points
Visual best practices
Publish to Tableau Online
Hands-on:
Analyzing data using techniques including Forecasting, Trend Lines, Reference Lines, Clustering, and Geographic Maps
Building Dashboard Layout and Formatting
Building Story points
Skills You will Learn:
Advanced visualization techniques in Tableau
Building Dashboards and Stories in Tableau
In-Class Project (Self-Paced)
1 Topics
Topics:
Predict the species of Plant
Hands-on:
Analyze the data
Predict the plant species
Skills You will Learn:
Data Pre-processing
Feature Engineering
Implementation of Machine Learning Algorithm
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Data Science Python Training in Dubai Course Description
Data Science with Python Course in Dubai will teach Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to train your machine based on real-life scenarios using Machine Learning Algorithms. Edureka’s Data Science with Python in Dubai will also cover both basic and advanced concepts like writing Python scripts, sequence, and file operations. You will use libraries like pandas, numpy, matplotlib, scikit, and master the concepts like machine learning, scripts, and sequence.
Why Learn Data Science with Python in Dubai?
Python has been one of the premier, flexible, and powerful open-source languages that is easy to learn, easy to use, and has powerful libraries for data manipulation and analysis. For over a decade, It has been used in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It's continued to be a favourite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built in debugger. It has evolved as the most preferred Language for Data Analytics and the increasing search trends also indicate that it is the Next Big Thing and a must for Professionals in the Data Analytics domain.
What are the objectives of our Data Science with Python Training Course in Dubai?
After completing this Data Science using Python Certification course, you will be able to:
Programmatically download and analyze data
Learn techniques to deal with different types of data – ordinal, categorical, encoding
Learn data visualization
Using I python notebooks, master the art of presenting step by step data analysis
Gain insight into the 'Roles' played by a Machine Learning Engineer
Describe Machine Learning
Work with real-time data
Learn tools and techniques for predictive modeling
Discuss Machine Learning algorithms and their implementation
Validate Machine Learning algorithms
Perform Text Mining and Sentimental analysis
Explain Time Series and its related concepts
Gain expertise to handle business in future, living the present
Edureka offers the best online course for Python Data Science. Enroll now with our data Science with Python training and get a chance to learn from industrial giants.
Who should go for this Data Science with Python Course in Dubai?
Edureka’s course is a good fit for the below professionals:
Developers aspiring to be a ‘Machine Learning Engineer'
Analytics Managers who are leading a team of analysts
Business Analysts who want to understand Machine
Learning (ML) Techniques
Information Architects who want to gain expertise in
Predictive Analytics
Professionals who want to design automatic predictive models
What are the prerequisites for this Data Science with Python Course in Dubai?
The pre-requisites for Edureka's Python Data Science course training includes the fundamental understanding of Computer Programming Languages. Fundamentals of Data Analysis practiced over any of the data analysis tools like SAS/R will be a plus. However, you will be provided with complimentary “Python Statistics for Data Science” as a self-paced course once you enroll for the Data Science with Python certification course.
What is cost of Data Science with Python Course in Dubai?
The Data Science with Python course fee is INR 19,795.
What is Syllabus of Data Science with Python course in Dubai?
The Data Science with Python Course syllabus covers:
Introduction to Python
Sequences and File Operations
Deep Dive – Functions, OOPs, Modules, Errors and Exceptions
Introduction to NumPy, Pandas and Matplotlib
Data Manipulation
Introduction to Machine Learning with Python
Supervised Learning - I
Dimensionality Reduction
Supervised Learning - II
Unsupervised Learning
Association Rules Mining and Recommendation Systems
Reinforcement Learning
Time Series Analysis
Model Selection and Boosting
Statistical Foundations (Self-Paced)
Data Connection and Visualization in Tableau (Self-paced)
Advanced Visualizations (Self-paced)
Data Science with Python Certification in Dubai Projects
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Data Science with Python Certification in Dubai
A skilling ecosystem focused on emerging technologies, powered by a partnership between the Ministry of Electronics and Information Technology, the Government of India, NASSCOM, and the IT industry. It seeks to propel India to become a global hub of talent in emerging technologies. FutureSkills Prime is one of the lighthouse schemes under the Government’s Trillion Dollar Digital Economy initiative.
You need to complete the modules successfully to earn a Joint Co-Branded Certificate of Completion by NASSCOM FutureSkills Prime and Edureka. On completing the course, the Learner is eligible for Government of India (GOI) incentives after successfully clearing the mandatory NASSCOM Assessment for which the learner will be awarded a NASSCOM certification. For more details please visit: https://futureskillsPrime.in/govt-of-India-incentives.
First of its kind government and industry partnership to drive a national skilling ecosystem for digital technologies.
End-to-end skilling from assessment to certification.
Affordable, credible content handpicked by industry leaders.
Speed up learning with bite-sized course modules.
Certifications recognized by the industry
GoI Incentive can be claimed by all Indian Nationals above 18 years of age. The current programme covers beneficiaries divided into the following broad categories:
IT employees in IT Firms and Non-IT firms
Non-IT employees aspiring to use new and emerging technologies in their respective domains
Employees whose skills for a particular job have become outdated.
Central Govt. & State Govt. Employees including employees of PSUs & Autonomous bodies (Govt. Employees)
Fresh Recruits who are yet to take up a job, as well as undergoing/selected for internship & Apprenticeship roles in IT/ ITeS
Enrolment in the Edureka portal
Successful completion of course modules
Quizzes, assignments and certificate project submission
Assignment and project evaluation by Edureka
Joint co-branded certificate of participation from NASSCOM and Edureka
Sign up on the FutureSkills Prime platform for mandatory FutureSkills Prime assessment
SSC Certificate issuance by Futureskills Prime on successful completion
Avail for GOI incentives upon successful completion of FutureSkills Prime assessment
To unlock the Edureka’s Data Science with Python Training course completion certificate, you must ensure the following:
Completely participate in this Edureka’s Data Science with Python Training Course.
Evaluation and completion of the quizzes and projects listed.
Yes, Edureka provides a course completion certificate titled Python for Data Science Professional upon completion of the course and fulfillment of minimum requirements.
Data Science with Python Certification provides a strong foundation in data science, machine learning, and Python programming. This certification is valuable for several reasons:
Demonstrates Mastery of Key Skills: Certification indicates that an individual has a strong understanding of data science concepts, machine learning techniques, and Python programming skills.
Improves Job Prospects: Data science and machine learning are high-growth industries, and certification can improve job prospects by demonstrating expertise in these areas.
Increases Earning Potential: Certified data scientists and machine learning engineers often earn higher salaries compared to their non-certified peers.
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Data Science with Python Course in Dubai
What is Python for Data Science?
Data is all around us, and data science will help extract the information. Data science has many applications, and python can be used to implement them. Python is a generic language that can be used to build websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to perform various operations in data science.
Why should I learn Data Science with Python Course in Dubai?
Python is definitely one of the most popular languages in Data Science, which can be used for data analysis, manipulation, and visualization. It has access to many Data Science libraries, making it the perfect language for developing applications and implementing algorithms.
Where Can I Learn Python for Data Science in Dubai?
Although there are many free learning resources available, finding one that teaches data science very well is recommended. You should choose a platform that will teach you interactively and has a curriculum designed to help you along your data science journey. Edureka is one such platform as we offer the best online Data Science with Python course for data science that will take you from beginner to data analyst in Python or data scientist.
Who are the instructors for the Python Data Science Course in Dubai?
All the instructors at edureka! are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants of Python Data Science Training.
What is the Data Science with Python Course in Dubai duration?
Data Science with Python Course in Dubai can take between five and 10 weeks to learn basic Python programming concepts, including object-oriented programming and basic Python syntax. It is important to note that the time it takes for Python programming depends on your experience with web development, data science, and other related fields.
How will I execute practical’s in Edureka's Data Science with Python Certification Course in Dubai?
You will do your Assignments/Case Studies using Jupyter Notebook, already installed on your Cloud Lab environment, whose access details will be available on your LMS. You will be accessing your Cloud Lab environment from a browser. For any doubt, the 24*7 support team will promptly assist you.
What does a Data Science Expert do?
A Data Science Expert applies statistical, mathematical, and computational techniques to analyze and interpret large and complex datasets to extract insights, make predictions, and inform decision-making. They are skilled in programming languages like Python or R and use various tools and technologies such as machine learning algorithms, data visualization, and database systems to manipulate, process and analyze data. They may work in various industries such as finance, healthcare, marketing, etc.
What skills should a Data Science Expert know?
A Data Science Expert should have a combination of technical and non-technical skills, including:
Strong programming skills in languages like Python, R, and SQL.
Proficiency in statistical analysis, machine learning, and data visualization techniques.
Knowledge of data structures, algorithms, and database systems.
Strong problem-solving skills and ability to work with large and complex datasets.
Understanding of business processes and ability to communicate effectively with stakeholders.
Knowledge of software engineering principles for building scalable and maintainable data pipelines.
Continual learning mindset to keep up with the latest trends and technologies in the field.
Why is it essential to learn Data Science with Python course?
Python is preferred by data scientists over other languages because it has powerful machine learning libraries that can be used to build any machine learning algorithm. This allows for a better understanding of the current performance without sacrificing existing performance. These powerful frameworks allow data scientists to create the right neural networks. Python is the foundation of Google, YouTube and Instagram. It allows for multiple tasks to be automated and the use of these applications in various languages. The code is simple and well-documented. Many organizations are still not adopting a data-centric approach. The market lacks data literacy. To fill this gap in supply, you will need to study data science and its underlying areas by taking python data science training.
What are the Job Opportunities After Completing Data Science with Python Course in Dubai?
Completing a Data Science with Python course in Dubai can open up several job opportunities in Dubai. Here are some of the job roles you can explore after completing the course:
Data Scientist: As a Data Scientist, you will use your data science and Python programming knowledge to extract insights from data and help organizations make data-driven decisions.
Machine Learning Engineer: In this role, you will build and deploy machine learning models using Python to automate decision-making processes.
Data Analyst: As a Data Analyst, you will use Python to analyze data and create reports that can be used to inform business decisions.
Business Intelligence Analyst: In this role, you will use Python to extract data from various sources and use it to create visualizations and dashboards that provide insights into business operations.
Data Engineer: As a Data Engineer, you will use Python to design and build data pipelines that collect, process, and store large amounts of data.
Big Data Developer: In this role, you will use Python to work with big data technologies such as Hadoop and Spark to develop scalable and distributed data processing applications.
Data Visualization Specialist: As a Data Visualization Specialist, you will use Python to create visually appealing and informative visualizations that help organizations understand complex data sets.
Overall, completing a Data Science with Python course can equip you with the skills necessary to excel in various data-related roles in Dubai. With the demand for data professionals on the rise, there are many opportunities to grow and advance your career in this field.
What are the companies hiring Data Scientists in Dubai?
There are several companies in Dubai that are currently hiring Data Scientists. Here are some examples:
Accenture
Amazon Web Services
Aramex
Careem
Dubai Electricity and Water Authority (DEWA)
Dubai Holding
Dubai Islamic Bank
Emirates NBD
Etisalat
Expo 2020 Dubai
Majid Al Futtaim
Mashreq Bank
Noon.com
PwC Middle East
Sharaf DG
Standard Chartered Bank
The Emirates Group
The First Group
Unilever
Visa
These are just a few examples of the many companies in Dubai that are actively seeking Data Scientists. The demand for data professionals in Dubai is high, and there are many opportunities across a wide range of industries and sectors. Job seekers can also look for opportunities through job search websites, professional networking sites, and recruitment agencies.
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