Dizi Global Solution

Transform Data into Insights with Expert Data Science Training

Unlock limitless potential with our Certification in Full Stack Data Science Program. Gain expertise in data analysis, machine learning, AI, and more. Elevate your career today!

Duration :

45 Days

Live Project

5 Project

Training Format


Certification Pass



Trainer Profile

Industry Experts

Trained Students


Job Placement

100% Assured

Corporate Served


Master Data Science:

Unlock Lucrative Opportunities with Career-Ready Data Skills

Are you ready to embark on a transformative journey into the dynamic world of Data Science? Dizi Global Solution presents a comprehensive program designed to take you from the fundamental principles of Data Science to the forefront of cutting-edge applications. Our course is carefully structured to provide you with a solid grounding in the basics while equipping you with the skills and knowledge needed to tackle the most advanced data challenges. This program is ideal for aspiring Data Scientists and Analysts, professionals seeking to upskill in Data Science, and business leaders looking to leverage data for strategic decision-making. 

With a curriculum that covers everything from foundational concepts to the latest advancements in AI and deep learning, you’ll be equipped to navigate the complexities of data analysis with confidence. Our emphasis on hands-on learning through projects and case studies ensures that you’re ready to tackle real-world challenges head-on.

By enrolling in the Master Data Science program at Dizi Global Solution, you’re not just learning about Data Science; you’re immersing yourself in a transformative experience that will empower you to make a significant impact in the data-driven world. Don’t miss this opportunity to master the art and science of data. Enroll today and shape a brighter future in Data Science.

Reason to Choose Us

Why Choose Dizi Global Solution for Data Science?

With hands-on learning through real-world projects and guidance from seasoned industry experts, Dizi Global equips you with cutting-edge skills and knowledge, preparing you for a successful career in the constantly evolving field of Data Science.

Comprehensive Curriculum

Our curriculum covers a wide range of topics, including statistical analysis, machine learning & advanced analytics.

Expert Instructors

 Learn from 10  industry-seasoned professionals who have been at the forefront of Data Science for years.

Hands-On Learning

We firmly believe in learning by doing. That’s why we integrate real-world projects and case studies into our course.

100% Job Placement

Secure your future with our 100% job placement assurance. Excel in your career with confidence and expertise.

Tools Covered

Apache Spark

Course Curriculum that makes you job ready

  • Getting Started with Python
  • Data Types in Python
  • Indexing & Slicing
  • In-built Functions and Methods
  • Conditional Statements
  • Loops & Iterations
  • Conditional & Infinite Looping
  • Advanced Looping Concepts
  • Custom functions in Python
  • Lambda & Map Functions
  • Errors and Exception Handling
  • OOPs in Python
  • Coding Best Practices
  • Arrays and Strings
  • Recursion – I and II
  • Sorting Algorithms
  • Search Algorithms
  • Competitive Coding
  • Packages & Libraries – OS
  • Datetime, Regex & Beautiful Soup
  • Command Line & File System
  • Git and Github
  • Standard Data Management Libraries
  • Data Wrangling using Pandas and Numpy
  • Data Visualisation Libraries – Matplotlib & Seaborn
  • Exploratory Data Analysis
  • Getting Started with SQL
  • SQL Environment & Basic Commands
  • Fundamentals of SQL Query
  • Dealing with Multiple Tables
  • Advanced SQL Joins
  • Mathematical & Data type conversion Functions
  • DateTime & String Functions
  • Window Functions
  • Miscellaneous Functions
  • Connect & Analyse Data with SQL & Python
  • Database Management & Schema Design
  • Competitive Coding & Query Optimisation
  • Complex queries using CTE & Pivoting
  • Type Casting & Math Functions
  • Advanced SQL Joins
  • Type Casting & Math Functions
  • Fundamentals of Excel
  • Data Exploration with In-Built Functions
  • Storytelling with Excel
  • Advanced Dashboarding Concepts – Macros & VBA
  • Getting Started with Tableau Ecosystem
  • Choosing the Right Chart – Visual Intuition
  • Storytelling with Tableau
  • Intro to Power BI
  • Intro to Google Analytics
  • Dashboarding and SQL
  • Calculus for ML
  • Vector Algebra
  • Matrix Algebra
  • Probability Theory
  • Data Summarization
  • Probability Distributions – Discrete and Continuous
  • Joint Distribution
  • Sampling and Statistical Inference
  • Concept of Confidence
  • Hypothesis Testing
  • Statistical Inference in Industry – A/B testing
  • Getting Started With ML
  • ML Lifecycle
  • Implementing simple Supervised Algorithm
  • Linear & Tree based models
  • Implementing simple Unsupervised Algorithm
  • Unsupervised Clustering: K-means & Hierarchical
  • Data Preparation for ML Models
  • Cross validation
  • Hyperparameter tuning
  • TedX Views Prediction – Case Study
  • Customer Segmentation – Case Study
  • Time Series Analysis
  • Bagging & Boosting: Complex Algorithms
  • Nonlinear Algorithms – Polynomial Regression
  • SVM & Neural Networks
  • Natural Language Processing
  • Image processing
  • Recommender Systems
  • SQL Feature Engineering, Prediction and Analysis
  • Big Data Fundamentals
  • Data Warehousing with Hive
  • Apache Spark using Python
  • Distributed ML Training
  • Product Analytics Essentials
  • Core Visualisation Principles
  • Product Intelligence Platforms
  • Advanced Query Optimisation
  • Business Process Automation
  • Deep Neural Networks
  • Natural Language Processing
  • Computer Vision

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Take the First Step Towards Data Excellence!

Seize the opportunity to master Data Science and shape a data-driven future with our comprehensive course.

Data Science Careers: Navigating the Top 10 Roles!

Explore the most coveted roles in this booming field and chart your path to success with expert insights and recommendations.

Data Scientist

Data Scientist analyzes and interprets complex datasets to inform business decision-making.

Data Analyst

Focuses on collecting and analyzing data to provide insights for business improvements.

Machine Learning Engineer

Designs, builds, and maintains machine learning models.

Data Engineer

Designs, constructs, and maintains the systems and architecture for data generation and storage.

Data Architect

Designs and manages data structures and databases for efficient storage and retrieval.

Quantitative Analyst

Utilizes maths and statistical techniques for financial modeling and analysis.

AI Engineer

Develops and deploys AI models and algorithms for various applications in the industry.

Power BI Analyst

Translates data into actionable insights for business growth and strategy.

Statistical Analyst

Applies statistical methods to analyze and interpret data for decision-making.


Provides expert advice and solutions to businesses for leveraging data effectively.

Frequently Asked Questions

The duration of our Data Science course is typically 6 months, allowing for comprehensive coverage of essential concepts and hands-on projects.

While prior knowledge of programming languages like Python is beneficial, our course is designed to cater to all skill levels. Basic understanding of statistics and mathematics is recommended.

Yes, upon successful completion of the course, you will receive a certificate from Dizi Global Solutions, validating your proficiency in Data Science.

Throughout the course, you will have access to our dedicated support team for any queries or assistance you may need. Additionally, we provide a range of supplementary resources, including forums, webinars, and updated content.

Yes, you will have lifetime access to our course materials, including lectures, assignments, and additional resources, allowing you to review and reinforce your knowledge at your own pace.

For any additional questions or information, you can reach out to us through www.diziglobalsolution.com, or visit our ‘Contact Us’ page on the website for various communication channels.


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