Informatica PowerCenter – Beginner to Expert Level
Informatica PowerCenter – Beginner to Expert Level, available at $69.99, has an average rating of 4.36, with 152 lectures, based on 9810 reviews, and has 47613 subscribers.
You will learn about Basics of Informatica and course structure. Foundation for understanding data processing workflows. Immersion in data warehousing concepts. Understanding ETL diagrams. Practical examples in Informatica for hands-on experience. Exploration of Power Center Designer tool. Understanding functionalities and interface. Usage in designing data integration processes. Step-by-step guidance on downloading and installing components. Preparation for hands-on practice with essential software. Specifics of server installation. Pre-installation steps and server setup. Comprehensive understanding of software architecture. Application of learned concepts in practical examples. Hands-on experience in loading data and creating workflows. In-depth exploration of Router, Filter, Aggregator, Joiner, Rank, and Lookup transformations. Learning to manipulate and optimize data effectively Deeper dive into normalization, update strategies, stored procedures, and slowly changing dimensions. Nuanced understanding of complex data processing scenario In-depth exploration of mapplets, normalization transformation, and update strategy transformation. Equipping participants with advanced skills for intricate data integration tasks. This course is ideal for individuals who are Data Engineers and ETL Developers: Individuals aspiring to specialize in data engineering and ETL processes. Professionals seeking to enhance their skills in data integration. or Data Analysts and Database Professionals: Data analysts aiming to broaden their knowledge in data processing workflows. Database professionals interested in mastering Informatica for efficient data management. or Students of Data Warehousing Courses: Students pursuing educational courses related to data warehousing and ETL technologies. Those looking to supplement their academic learning with practical skills. or IT Professionals and Software Developers: IT professionals exploring advanced tools for data processing and integration. Software developers interested in incorporating data integration capabilities into their projects. or Business Intelligence Professionals: BI professionals seeking to expand their toolkit with Informatica PowerCenter skills. Those involved in creating meaningful insights from data. or Professionals Transitioning to Data Roles: Individuals transitioning from other IT roles to data-centric positions. Career switchers aiming to enter the field of data engineering. or Database Administrators: Database administrators looking to enhance their expertise in ETL processes. Professionals managing databases interested in comprehensive data integration. or Business and Finance Professionals: Professionals from business and finance domains wanting to understand data integration processes for informed decision-making. or This course caters to a diverse audience, providing foundational to advanced knowledge in Informatica PowerCenter. It is designed for anyone eager to excel in the field of data integration and management. It is particularly useful for Data Engineers and ETL Developers: Individuals aspiring to specialize in data engineering and ETL processes. Professionals seeking to enhance their skills in data integration. or Data Analysts and Database Professionals: Data analysts aiming to broaden their knowledge in data processing workflows. Database professionals interested in mastering Informatica for efficient data management. or Students of Data Warehousing Courses: Students pursuing educational courses related to data warehousing and ETL technologies. Those looking to supplement their academic learning with practical skills. or IT Professionals and Software Developers: IT professionals exploring advanced tools for data processing and integration. Software developers interested in incorporating data integration capabilities into their projects. or Business Intelligence Professionals: BI professionals seeking to expand their toolkit with Informatica PowerCenter skills. Those involved in creating meaningful insights from data. or Professionals Transitioning to Data Roles: Individuals transitioning from other IT roles to data-centric positions. Career switchers aiming to enter the field of data engineering. or Database Administrators: Database administrators looking to enhance their expertise in ETL processes. Professionals managing databases interested in comprehensive data integration. or Business and Finance Professionals: Professionals from business and finance domains wanting to understand data integration processes for informed decision-making. or This course caters to a diverse audience, providing foundational to advanced knowledge in Informatica PowerCenter. It is designed for anyone eager to excel in the field of data integration and management.
Enroll now: Informatica PowerCenter – Beginner to Expert Level
Summary
Title: Informatica PowerCenter – Beginner to Expert Level
Price: $69.99
Average Rating: 4.36
Number of Lectures: 152
Number of Published Lectures: 152
Number of Curriculum Items: 152
Number of Published Curriculum Objects: 152
Original Price: $199.99
Quality Status: approved
Status: Live
What You Will Learn
- Basics of Informatica and course structure. Foundation for understanding data processing workflows.
- Immersion in data warehousing concepts. Understanding ETL diagrams. Practical examples in Informatica for hands-on experience.
- Exploration of Power Center Designer tool. Understanding functionalities and interface. Usage in designing data integration processes.
- Step-by-step guidance on downloading and installing components. Preparation for hands-on practice with essential software.
- Specifics of server installation. Pre-installation steps and server setup. Comprehensive understanding of software architecture.
- Application of learned concepts in practical examples. Hands-on experience in loading data and creating workflows.
- In-depth exploration of Router, Filter, Aggregator, Joiner, Rank, and Lookup transformations. Learning to manipulate and optimize data effectively
- Deeper dive into normalization, update strategies, stored procedures, and slowly changing dimensions. Nuanced understanding of complex data processing scenario
- In-depth exploration of mapplets, normalization transformation, and update strategy transformation.
- Equipping participants with advanced skills for intricate data integration tasks.
Who Should Attend
- Data Engineers and ETL Developers: Individuals aspiring to specialize in data engineering and ETL processes. Professionals seeking to enhance their skills in data integration.
- Data Analysts and Database Professionals: Data analysts aiming to broaden their knowledge in data processing workflows. Database professionals interested in mastering Informatica for efficient data management.
- Students of Data Warehousing Courses: Students pursuing educational courses related to data warehousing and ETL technologies. Those looking to supplement their academic learning with practical skills.
- IT Professionals and Software Developers: IT professionals exploring advanced tools for data processing and integration. Software developers interested in incorporating data integration capabilities into their projects.
- Business Intelligence Professionals: BI professionals seeking to expand their toolkit with Informatica PowerCenter skills. Those involved in creating meaningful insights from data.
- Professionals Transitioning to Data Roles: Individuals transitioning from other IT roles to data-centric positions. Career switchers aiming to enter the field of data engineering.
- Database Administrators: Database administrators looking to enhance their expertise in ETL processes. Professionals managing databases interested in comprehensive data integration.
- Business and Finance Professionals: Professionals from business and finance domains wanting to understand data integration processes for informed decision-making.
- This course caters to a diverse audience, providing foundational to advanced knowledge in Informatica PowerCenter. It is designed for anyone eager to excel in the field of data integration and management.
Target Audiences
- Data Engineers and ETL Developers: Individuals aspiring to specialize in data engineering and ETL processes. Professionals seeking to enhance their skills in data integration.
- Data Analysts and Database Professionals: Data analysts aiming to broaden their knowledge in data processing workflows. Database professionals interested in mastering Informatica for efficient data management.
- Students of Data Warehousing Courses: Students pursuing educational courses related to data warehousing and ETL technologies. Those looking to supplement their academic learning with practical skills.
- IT Professionals and Software Developers: IT professionals exploring advanced tools for data processing and integration. Software developers interested in incorporating data integration capabilities into their projects.
- Business Intelligence Professionals: BI professionals seeking to expand their toolkit with Informatica PowerCenter skills. Those involved in creating meaningful insights from data.
- Professionals Transitioning to Data Roles: Individuals transitioning from other IT roles to data-centric positions. Career switchers aiming to enter the field of data engineering.
- Database Administrators: Database administrators looking to enhance their expertise in ETL processes. Professionals managing databases interested in comprehensive data integration.
- Business and Finance Professionals: Professionals from business and finance domains wanting to understand data integration processes for informed decision-making.
- This course caters to a diverse audience, providing foundational to advanced knowledge in Informatica PowerCenter. It is designed for anyone eager to excel in the field of data integration and management.
Informatica is a widely used ETL tool which is used to extract the raw data and load it into the target data after making some transformations. ETL stands for Extract Transform Load which refers to the processes performed when transforming raw data to a data warehouse or data mart or relational databases. Informatica is an easy to use tool and it also has a simple visual interface like forms. Through this training, you shall be equipped with skills needed for Informatica development, architecture and various transformations. Through this training, you shall be equipped with advanced skills needed for Informatica development, architecture and various transformations. Informatica is the leader of ETL. The components within Informatica PowerCenter aid in extracting data from its source, transforming it as per business requirements and loading it into a target data warehouse. The main components of Informatica PowerCenter are its client tools, server, repository server and repository. The PowerCenter server and repository server make up the ETL layer, which completes the ETL processing. Informatica Power Center is an easy to use GUI based tool. Components are used by a simple drag and drop features for objects like source, mappings, worklets etc. The training will cover the followings:
Course Overview
Section 1: Introduction
In this introductory section, participants will delve into the fundamental aspects of Informatica, establishing a solid foundation for the course. The focus is on providing a comprehensive overview of Informatica, including its history, key features, and significance in the data integration landscape. Learners will gain insights into the core concepts that underpin Informatica’s functionality, setting the stage for more in-depth exploration in subsequent sections.
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Key Topics:
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Overview of Informatica: Understanding the purpose and significance of Informatica in data integration.
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Course Structure: An outline of the course content, modules, and the learning path participants will follow.
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Foundational Concepts: Introduction to basic terminologies, tools, and principles essential for Informatica users.
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Section 2: Getting Started
This section serves as an immersive introduction to practical aspects, focusing on data warehousing concepts, ETL diagrams, and real-world examples within the context of Informatica. Participants will not only grasp theoretical knowledge but also witness how these concepts manifest in practical scenarios. The section lays the groundwork for understanding the intricate workflows involved in processing data within the Informatica environment.
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Key Topics:
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Data Warehousing Concepts: Exploring the fundamentals of data warehousing and its relevance in modern data processing.
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ETL Diagrams: Understanding the Extract, Transform, Load (ETL) process through informative diagrams.
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Practical Examples: Applying learned concepts to real-world examples, ensuring a practical understanding of data processing workflows.
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Section 3: Power Center Designer
This section is dedicated to the exploration of the Power Center Designer tool, a pivotal component in the Informatica ecosystem. Participants will gain hands-on experience with the tool’s functionalities, interface, and its role in designing data integration processes. The goal is to empower learners to navigate and utilize the Power Center Designer effectively for creating robust data integration solutions.
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Key Topics:
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Power Center Designer Overview: Understanding the interface, components, and capabilities of the Power Center Designer.
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Functionalities: Exploring the various functionalities within the tool, including data mapping, transformation design, and workflow creation.
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Interface Navigation: Learning to navigate the user-friendly interface for seamless interaction with the Power Center Designer.
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Section 4: Download and Install Informatica
In this practical section, participants will be guided through the step-by-step process of downloading and installing essential components required for using Informatica. The focus is on ensuring that learners have a fully functional environment, including Informatica, Java, Oracle, and SQL Developer, setting the stage for hands-on application of concepts covered in subsequent sections.
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Key Topics:
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Downloading Essential Components: Step-by-step instructions for downloading Informatica, Java, Oracle, and SQL Developer.
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Installation Procedures: Detailed guidance on installing each component to create a fully operational Informatica environment.
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Preparing for Hands-on Practice: Ensuring participants have the necessary tools and resources for practical application of learned concepts.
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Section 5: Client and Server Installation
This section is designed to provide participants with a detailed understanding of the server installation process in Informatica. Delving into the specifics of server installation, learners will explore the pre-installation steps required to set up the server effectively. The emphasis is on comprehending the architecture of the software, ensuring that participants gain insights into the intricacies of Informatica’s server-side operations.
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Key Topics:
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Server Installation Overview: Understanding the purpose and significance of server installation in Informatica.
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Pre-installation Steps: Exploring the crucial preparatory steps required before initiating the server installation process.
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Server Setup: Guiding participants through the actual installation process, ensuring a seamless setup of the server environment.
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Section 6: Example Solved
Building upon the foundational knowledge acquired in previous sections, this segment focuses on the practical application of learned concepts. Participants will engage in hands-on examples, gaining valuable experience in loading data, creating workflows, and solving real-world scenarios. The goal is to reinforce theoretical understanding through practical implementation, fostering a deeper comprehension of data processing workflows within the Informatica environment.
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Key Topics:
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Practical Examples: Applying learned concepts to real-world scenarios, including loading data and creating workflows.
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Problem-solving: Engaging participants in solving practical challenges, enhancing their ability to apply theoretical knowledge to actual data integration tasks.
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Real-world Scenarios: Simulating scenarios that professionals might encounter, ensuring participants are well-prepared for practical applications in data processing.
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Sections 7-12: Transformation Techniques
This segment provides an in-depth exploration of various transformation techniques crucial in the data processing landscape. Covering transformations such as Router, Filter, Aggregator, Joiner, Rank, and Lookup, participants will learn how to manipulate and optimize data effectively. The focus is on imparting practical skills in using these transformations to address diverse data processing requirements.
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Key Topics:
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Router Transformation: Understanding how to route and filter data based on specified conditions.
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Filter Transformation: Exploring techniques for filtering and refining datasets according to defined criteria.
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Aggregator Transformation: Mastering the art of aggregating and summarizing data for meaningful insights.
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Joiner Transformation: Learning how to join data from multiple sources for comprehensive analysis.
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Rank and Lookup Transformations: Exploring ranking methodologies and efficiently looking up data for enhanced data processing.
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Sections 13-14: Advanced Techniques
Participants will embark on a deeper exploration of advanced data processing techniques. This section delves into topics such as normalization, update strategies, stored procedures, and slowly changing dimensions. Learners will gain a nuanced understanding of complex data processing scenarios, equipping them with advanced skills for handling intricate tasks within the Informatica environment.
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Key Topics:
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Normalization: Understanding techniques for organizing data to eliminate redundancy and enhance efficiency.
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Update Strategies: Exploring strategies for efficiently updating data based on various criteria.
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Stored Procedures: Learning how to leverage stored procedures for enhanced data processing.
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Slowly Changing Dimensions: Mastering techniques for handling evolving data dimensions over time.
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Section 15: Advanced Concepts
This section provides an in-depth exploration of advanced concepts, including mapplets, normalization transformation, and update strategy transformation. Participants will gain advanced skills for handling intricate data integration tasks, preparing them for complex scenarios in professional settings.
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Key Topics:
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Mapplets: Understanding the concept of mapplets and their applications in data processing workflows.
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Normalization Transformation: Exploring advanced normalization techniques for optimal data organization.
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Update Strategy Transformation: Delving into advanced strategies for updating data efficiently.
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These sections collectively empower participants with a comprehensive skill set, ranging from fundamental server installation to advanced data processing techniques within the Informatica PowerCenter environment. The hands-on approach ensures that learners are not only well-versed in theoretical concepts but also proficient in applying them to real-world scenarios.
Section-wise Outcomes:
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Understanding the foundational concepts of Informatica PowerCenter.
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Proficiency in using Power Center Designer and other essential tools.
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Successful installation and configuration of Informatica and related software.
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Mastery in various transformation techniques for efficient data manipulation.
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Exploration of advanced concepts, providing a comprehensive skill set for handling complex data integration challenges.
Who Should Enroll: This course is designed for aspiring data engineers, ETL developers, and professionals seeking to enhance their skills in Informatica PowerCenter. It is also suitable for students pursuing courses related to data warehousing and ETL processes.
Prerequisites: Participants are recommended to have a basic understanding of databases, data processing concepts, and familiarity with SQL and relational databases.
Outcome: Upon completion, participants will possess practical skills in Informatica PowerCenter, enabling them to design, implement, and optimize ETL processes effectively. Enroll now to embark on a journey towards mastering Informatica PowerCenter 9.6.1 for robust data integration and analysis!
Course Curriculum
Chapter 1: Introduction – Informatica PowerCenter for Beginners
Lecture 1: Introduction to Informatica
Chapter 2: Getting Started
Lecture 1: Informatica Dataware Housing
Lecture 2: Data Mart in Informatica
Lecture 3: ETL Diagram
Lecture 4: Example of ETL
Chapter 3: Power Center Designer
Lecture 1: Power Center Designer in Informatica
Lecture 2: Power Center Workflow
Lecture 3: Power Center Monitor
Lecture 4: Power Center Repository
Lecture 5: OverView of Informatica
Chapter 4: Download and Install Informatica
Lecture 1: Download Java in Informatica
Lecture 2: Installation of Java File in Informatica
Lecture 3: Downloading Orcale For Informatica Server
Lecture 4: Downloading Sql Developer For Informatica Server
Lecture 5: Installation of SQL Developer
Lecture 6: Creating a Connection Between Sql Developer and Java
Lecture 7: Download and Install Informatica
Lecture 8: Installation of Informatica
Lecture 9: Installation of Informatica Continue
Chapter 5: Client and Server Installation
Lecture 1: Pre Installation of Informatica Server
Lecture 2: Server Installation of Informatica Server
Lecture 3: Server Installation of Informatica Server Continues
Lecture 4: Informatica Server Client Installation
Chapter 6: Example Solved
Lecture 1: Loading Data to Target
Lecture 2: Customer Table Demo
Lecture 3: Developing Mapping
Lecture 4: Transform Apply Logic
Lecture 5: Creating WorkFlow
Lecture 6: Loading Data by Transformation
Lecture 7: Creating Customer Details
Lecture 8: Creating Mapping
Lecture 9: Working with Function Concat
Lecture 10: Applying Transformation Logic
Lecture 11: Checking Valid Mapping
Lecture 12: Concatinating Names
Lecture 13: Overview in Expression Transformation
Chapter 7: Router Transformation
Lecture 1: Concept of Router Transformation
Lecture 2: Using Router Transformation
Lecture 3: Applying Expression Transformation
Lecture 4: Router Transformation Demo
Lecture 5: Grouping in Router Transformation
Lecture 6: Creating Work Flows
Lecture 7: Analyzing in SQL Developer
Chapter 8: Filter Transformation
Lecture 1: Concept of Filter Transformation
Lecture 2: Comparing Router and Filter Transformation
Lecture 3: Loading Data in Target Table
Lecture 4: Validating Filter Properties
Lecture 5: Filter Transformation Demo
Chapter 9: More on Router Transformation
Lecture 1: Tutuorials on Router Transformation
Lecture 2: Comparison between Router and Filter
Lecture 3: Source and Source Qualifier
Lecture 4: Different Target Tables
Lecture 5: Loading Data for Target Tables
Lecture 6: Advantages of Router Transformation
Lecture 7: Advantages of Router Transformation Continues
Chapter 10: Aggregator Transformation
Lecture 1: Understanding Aggregator Transformation
Lecture 2: Scenario for Aggregator Transformation
Lecture 3: Functions for Aggregator Transformation
Lecture 4: Editing in Aggregator Transformation
Lecture 5: Working in Target Table
Lecture 6: Data from the Source File
Lecture 7: Truncating the Table
Chapter 11: Joiner Transformation
Lecture 1: Understanding the Joiner Transformation
Lecture 2: Different types of Joins
Lecture 3: Functions of Master Outerjoin
Lecture 4: Generating and Executing SQL
Lecture 5: Mapping the Codes for Targets
Lecture 6: Understanding Details Outer Join
Lecture 7: Workflow from Designer Window
Chapter 12: Demo
Lecture 1: Learning Full Outerjoin
Lecture 2: Truncate Target Table Option
Lecture 3: Defining the Normal Join
Lecture 4: Checking the Connection Details
Lecture 5: Performing Normal Join on Example
Lecture 6: Creating a New Target Table
Lecture 7: Executing the Workflow for Normal Join
Chapter 13: Rank Transformation
Lecture 1: Concept of Rank Transformation
Lecture 2: Practical Example on Rank Transformation
Lecture 3: Defining Rank Properties
Lecture 4: Designing the Transformation Attributes
Lecture 5: Understanding the Sequence Transformation
Lecture 6: Creating Table and Loading Data
Chapter 14: Lookup Transformation
Lecture 1: Understanding Lookup Transformation
Lecture 2: Example on Lookup Transformation
Lecture 3: Cashed or Uncashed Lookup
Lecture 4: Learning Unconnected Lookup
Instructors
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Smart Coders Hub
Learn Data Science from the Expert
Rating Distribution
- 1 stars: 138 votes
- 2 stars: 181 votes
- 3 stars: 1066 votes
- 4 stars: 3690 votes
- 5 stars: 4744 votes
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