Data Analyst Training Course in Dubai

Data Analytic job roles by learning the in-demand skills with NLPTech’s Data Analytics Course in Dubai.

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Overview Of Data Analytics Training in Dubai

Data analytics involves the collection, transformation, and organization of factual information to make predictions, draw conclusions, and make informed decision-making. To make decisions about products, services, or business strategies, companies require the expertise of data analysts to sift through the data.

NLPTech in Dubai is renowned for providing top-notch IT courses in Dubai. Our industry-led experts will equip you with key analytical skills such as data cleaning, analysis, & visualization. You will also get to learn about data analytics tools such as spreadsheets, SQL, R programming, and Tableau. NLPTech’s Data Analytics Course provides learners with the skills needed to succeed in the field or start a new career in the IT sector.

Data Analytics Training Course Highlights

Gain insights into how to apply data analytics principles in businesses and keep up with the latest trends in the industry.
Learn to use data analytic tools such as Power BI, Tableau, and more.
you will undergo 35 hours of formal training before taking up the Data Analytics certification exam.
Our Training aligns with the latest Data Analytics Content Outline.
Our Data Analytics Authorised instructors will guide you through the session
You can choose between weekend or weekday classes, which is more convenient for you.

Data Analytics Training Course Features

Hands-On Project-Based Learning: We will get the learners involved in industry-relevant projects so that they are better taught and learned through an experiential approach.
Industry-Recognised Certification: NLPTech offers you an industry-recognized training certificate at the end of the successful completion of your data analytics training in Dubai.
Interactive Learning Through Classroom/Online: Interactive learning experiences through both classroom/online platforms cater to diverse learning preferences and accommodate individual schedules.
Experienced Instructors: Our instructors bring real-world insights and practical knowledge to the classroom, providing valuable guidance and mentorship throughout the course.
Flexible Learning Solution: We offer classroom/online learning options to accommodate diverse schedules and learning preferences. Choose the mode that suits you best.
Networking Opportunities: Connect with fellow learners and professionals in the field of data analytics through our collaborative platforms and discussion forums.
35+ Hours of Online Training: We offer a comprehensive training program ensuring that participants gain a thorough understanding of data analytics concepts, techniques, and tools.
Curriculum Designed by Experts: Our curriculum is carefully curated by industry experts covering all the essential topics and skills needed for data analytics professionals.

Industries Looking for Data Analytics Professionals

Software/IT
Media & Entertainment.
Healthcare.
Retail.
Telecommunications.
Automotive.
Digital Marketing.
Professional Services.

Data Analytics Training Course Prerequisites

Candidates who have a minimum qualification of 12th grade, most preferably computer science or science, along with a keen interest in data analysis and techniques, can pursue the Data Analytics Certification course.

Data Analytics Training Course Modules

Module 1: Python Fundamentals
Introduction to Python and its applications.
Setting up the Python development environment.
Basic syntax and data types in Python.
Control flow and conditional statements.
Looping structures and iterations.
Functions and modules.
File input/output operations.
Exception handling and error management.
Module 2: Python Advanced Concepts
Object-oriented programming (OOP) in Python.
Classes, objects, and inheritance.
Working with libraries and modules (e.g., NumPy, Pandas, Matplotlib).
Dataframe basics.
Reading data from CSV/excel files.
Data cleaning and filtering.
Handling missing data.
Group by, Concat, Merge.
Data manipulation and analysis using Python libraries.
Introduction to data visualization with Python.
Matplotlib, Seaborn and Plotly.
Module 3: MySQL Database Management
Introduction to relational databases and MySQL.
Installing and setting up the MySQL server.
Statement Fundamentals.
Creating databases and tables.
Data types, constraints, and indexes.
SQL queries: SELECT, INSERT, UPDATE, DELETE.
Joins, sub-queries, and aggregations.
CTE and Windows functions.
Stored procedures.
Module 4: Power BI
Introduction to Power BI and its features.
Importing data into Power BI.
Data transformation and shaping using Power Query.
Data modelling and relationships.
Creating calculated columns and measures.
Designing interactive reports and dashboards.
Adding visuals and customizing their properties.
Sharing and publishing reports on Power BI.
Module 5: Statistics for Data Science
Introduction to statistical concepts and terminologies.
Descriptive statistics: measures of central tendency and variability.
Probability distributions: discrete and continuous distributions.
Hypothesis testing and statistical significance.
Correlation and regression analysis.
Introduction to ANOVA (Analysis of Variance).
Module 6: Data Science
Understanding the data science workflow.
Data acquisition and data cleaning techniques.
Exploratory data analysis (EDA) and data visualization.
Supervised and unsupervised machine learning algorithms.
Model evaluation and performance metrics.
Introduction to natural language processing (NLP).
Introduction to deep learning and neural networks.

How to Get Data Analytics Certified?

Get Professional Training
Apply For Data Analytics Certification Exam
Do The Preparation
Become A Certified Data Analyst

Data Analytics Training Options

Training Options	Features
Classroom Training	Instructor-led Classes Case Study Presentation Lecture-Based Presentation Video and Audio Inserts Simulated Exams and Exam Practice
Customised Corporate Training	Customised learning (digital/ instructor-led) Flexible pricing options Enterprise dashboards for individuals and teams Learner's assistance and after support.
Live Online Training	+ Contact Hour classes Authorised Instructor-led Classes Weekend/Weekday Classes

The Value of Data Analytics Training Course Nowadays

The field of data analytics offers a multitude of opportunities for individuals seeking to build a career in this data-driven world. There are various ways to acquire the skills needed to excel in this domain, and one of the most prominent options is the Google Data Analytics Professional Certificate.

The Google Data Analytics Professional Certificate is a comprehensive program designed to equip learners with the knowledge and skills essential for success as a data analyst. This course covers a wide range of topics, including data collection, data cleaning, data analysis, and data visualization. With hands-on exercises and real-world projects, students gain practical experience in using tools like SQL, Tableau, and R to analyze data and generate valuable insights.

What sets this certificate apart is its industry recognition and practical approach. Google has collaborated with top employers to ensure that the curriculum aligns with the skills demanded in the job market. Upon completion, students have the advantage of showcasing their skills and knowledge to potential employers.

Moreover, the flexibility of online learning makes it accessible to a broad audience, allowing you to study at your own pace. Whether you’re a beginner or someone looking to upskill, the Google Data Analytics Professional Certificate is an excellent choice for launching or advancing your career as a data analyst.

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FAQ (Frequently Asked Questions)

Is prior experience in data analytics required to enroll in the course?

No, prior experience in data analytics is not required. Our Data Analytics course is designed to cater to participants with varying levels of experience, including beginners. The course starts with the fundamentals and gradually progresses to more advanced topics, ensuring that participants of all backgrounds can grasp the material effectively.

What software or tools will be used in the Data Analytics course?

The course covers various software and tools commonly used in data analytics, such as Python, R, and popular data analytics libraries and frameworks. Participants will gain hands-on experience with these tools to perform data manipulation, analysis, and visualization tasks. Additionally, we provide guidance and support in setting up the necessary software environments for the course.

How can I get certified in the Data Analytics course?

You can take the Data Analytics Certification exam after completing NLPTech’s Data Analytics course in Dubai. As a certified Data Analyst, your abilities, knowledge, and experience in data analysis and visualization will be validated.

What are the skills acquired through the Data Analytics Training in Dubai?

Upon the successful completion of the Data Analytics Course at NLPTech, you will acquire skills such as

Utilise data analytics to make crucial decisions
Provide practical marketing strategies
Implementing customer service and customer relations
Streamline more efficient operations.

What are the objectives of the Data Analytics training course in Dubai?

NLPTech provides rigorous training methods crafted to suit your learning methods and build your skills and knowledge to build a foundational career path in Data Analysis. The course objectives for our Data Analytics Classes in Dubai also include