A Country Called Home (2015) [720p] [WEBRip] [YTS MX]

A Country Called Home (2015) [720p] [WEBRip] [YTS MX]

IMDB information:
Title: A Country Called Home (2015)
Genres: Drama
Description: After rudderless 26 year old Ellie learns that her estranged, alcoholic father has died, her world is disrupted and she begins a journey that takes her to small-town Texas, where she finds direction, family, and friendship in this most unexpected place.
Director: Anna Axster
Writer: Jim Beggarly, Anna Axster
Actors: Imogen Poots, Mackenzie Davis, Mary McCormack
Rating: 5.9
Runtime: 90 min
Language: English
Country: United States
Rate: Not Rated Click to expand…
IMDb:
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https://www.imdb.com/title/tt3953626/

mp4 | 849.89 MB | 1280×534
01:32:30 | avc1 | Unknown language
1150 Kbps | 23.976 fps | 2.40:1 Click to expand…
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https://rapidgator.net/file/97152bb5ef0c126d1b5a907d35c51992/A.Country.Called.Home.2015.720p.WEBRip.x264.AAC-YTS.MX.mp4

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https://drop.download/5z74v704wnoy/A.Country.Called.Home.2015.720p.WEBRip.x264.AAC-YTS.MX.mp4

Data Science Bayesian Linear Regression in Python


1.79 GB | 23min 15s | mp4 | 1280X720 | 16:9
Genre:eLearning |Language:English
Files Included :
1 -Introduction.mp4 (35.22 MB)
2 -Outline.mp4 (16.34 MB)
3 -Where to get the code.mp4 (5.19 MB)
4 -The Big Picture (Optional).mp4 (40.48 MB)
5 -How to Succeed in this Course.mp4 (16.26 MB)
6 -What Are Dog Food Lectures.mp4 (12.14 MB)
1 -Simple Linear Regression Review.mp4 (20.9 MB)
2 -Distribution of w Estimate.mp4 (37.09 MB)
3 -Linear Regression Review Dog Food.mp4 (58.71 MB)
4 -Relationship to Maximum Likelihood Estimation.mp4 (18.34 MB)
5 -MAP Estimation.mp4 (48.08 MB)
6 -MLE and MAP Dog Food.mp4 (89.5 MB)
7 -Suggestion Box.mp4 (28.51 MB)
1 -The Bayesian Approach.mp4 (29.89 MB)
2 -Review of Conjugate Priors.mp4 (25.78 MB)
3 -Training Posterior w.mp4 (31.65 MB)
4 -Making Predictions (pt 1).mp4 (24.29 MB)
5 -Making Predictions (pt 2).mp4 (20.74 MB)
6 -Making Predictions (pt 3).mp4 (31.35 MB)
7 -Training Dog Food.mp4 (59.52 MB)
8 -Prediction Dog Food.mp4 (141.55 MB)
1 -Multivariate Bayesian Linear Regression (Fitting).mp4 (34.29 MB)
2 -Multivariate Bayesian Linear Regression (Predictions).mp4 (22.55 MB)
3 -Multivariate Fitting Dog Food.mp4 (425.43 MB)
4 -Multivariate Predictions Dog Food.mp4 (146.68 MB)
5 -Multivariate Predictions – ChatGPT Solution.mp4 (36.12 MB)
1 -Code Preparation.mp4 (17.19 MB)
2 -Code.mp4 (98.91 MB)
1 -How to Succeed in this Course (Long Version).mp4 (17.87 MB)
2 -Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 (77.9 MB)
3 -Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 (105.78 MB)
4 -Where to Get the Code Troubleshooting.mp4 (20.94 MB)
5 -BONUS.mp4 (40.43 MB)]
Screenshot

Data Quality and Ground Truth for Generative AI


Data Quality and Ground Truth for Generative AI
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 34m | 94.2 MB
Instructor: Harsh Karna​

Generative AI systems fail when data quality and validation are weak. This course teaches you how to build reliable ground truth datasets and design structured evaluation workflows that reduce risk before deployment.

What you’ll learn

Generative AI projects often fail not because the model is advanced, but because the underlying data is flawed or the validation process is incomplete. In this course, Data Quality and Ground Truth for Generative AI, you’ll gain the ability to build strong data foundations and design validation workflows that expose weaknesses before AI systems reach production.

First, you’ll explore how to assess data sources for quality, representativeness, and bias, and understand why consistent labeling practices are critical for building reliable ground truth datasets. Next, you’ll discover how to document dataset lineage, assumptions, and constraints to ensure reproducibility and auditability across teams and model versions. Finally, you’ll learn how to validate AI systems using appropriate evaluation methods, structured error analysis, and scalable workflows that reduce risk across iterative development cycles.

When you’re finished with this course, you’ll have the skills and knowledge needed to reduce generative AI failures by strengthening data quality and validation practices from the ground up.

Homepage

Data Entry Skills via Google Sheets : A Practical Course


Data Entry Skills via Google Sheets : A Practical Course
Published 2/2024
Duration: 5h37m | .MP4 1280×720, 30 fps(r) | AAC, 44100 Hz, 2ch | 2.67 GB
Genre: eLearning | Language: English​

Complete Guide For Data Entry Skills to become a Successful Data Entry Worker by using Google sheets, including chat GPT

What you’ll learn
Introduction to data entry skills
Introduction and advantage of google sheets
Use the Google sheets in offline mode
Different methods of access google sheets
Basic tools of google sheets for data entry works
Freezing rows & columns
Selecting and Adding Rows & Columns
Manage and arrange the data in google sheets for data entry works
Export into google sheet and download in different formats
Auto Sync from google sheets to MS Excel
Arithmetic related functions in google sheets for data entry works
Mathematic related functions in google sheets for data entry works
Text related functions in google sheets for data entry works
Date and time related functions in google sheets for data entry works
Usage of conditional formatting in google sheets
Usage of sort and filter options in google sheets for data entry works
Data Validation and hyperlink options in google sheets
Data scraping from website to google sheets
Translate any language to your preference language in google sheets
Convert the data from PDF to google sheets
Convert the data from picture to google sheets
Protect the google sheets and ranges
Visualize your data by using charts and graphs
Sharing the file with restrictions
Published to web option in google sheets to share the file for large people
Usage of IF and VLOOKUP functions in google sheets for data entry works
Common shortcut keys in google sheets
Tips and trick in google sheets related with data entry works
Usage of chat GPT in google sheets
Manage the add-on in google sheets
Personalized document creation by using document studio in google sheets

Requirements
No experience needed, You just need a desire to learn
You need a computer with internet connection

Description
Eight Reasons why you should choose this Data Entry Skills via Google Sheets : A Practical Course
You will learn various data entry techniques using Google sheets
Carefully designed curriculum By Proficient In Google sheets for data entry works
you can complete this course In Short time
Data Entry related examples and case studies Provided
Practical Examples And practice exercises Are Able to Download in The Recourse Section
A Verifiable Certificate will Be Provided On the Completion
24 Downloadable resources attached in this course and You are able to practice it.
Data Entry related doubt resolved by Chat GPT
I will lead you through this course on essential data entry skills aimed at transforming you into a proficient data entry professional in data entry position. The course offers comprehensive insights into data entry tasks within Google Sheets. I will systematically instruct you, starting from the fundamentals and progressing to advanced techniques for data entry work in Google Sheets.
This course is designed for beginners and intermediate users who want to enhance their data entry skills by using Google Sheets, the google sheets is a globally recognized and powerful spreadsheet application in the world. Throughout the program, participants will acquire the necessary knowledge, techniques and strategies to become a successful Data entry worker in google sheets.
The beauty of this course is everything demonstrate with Practical file, it helps to minimize your data entry errors, and maximize your efficiency.
This course will cover data entry related tools, websites, techniques , strategies and Chat GPT to become a master in data entry work in google sheets, after finishing this course you are able do your data entry related work independently and efficiently.
Go ahead and click the enroll button, and I’ll see you in Chapter 1!
Cheers
AMAMA Mubeen
Who this course is for:
People who are interest to become a Data entry professional
Peoples who are interested to learn about Data entry
All individual, who work at office
All students, who are engaging with computer and data entry work
Anyone who wants to learn Google sheets for data entry work
Students who want to Engage with Computer and Data Entry Work with Google Sheets

More Info

Data Blending and Joins in Alteryx


Data Blending and Joins in Alteryx
Duration: 1h 30m | .MP4 1280×720 30 fps(r) | AAC, 48000 Hz, 2ch | 283.21 MB
Genre: eLearning | Language: English​

Alteryx is a powerful tool to manipulate and analyze data. This course will introduce you to common functions in Alteryx that will help you combine data from multiple tables or sources for further summarization or aggregation.

More Info:
Data Blending and Joins in Alteryx


Data Architecture Mastery Think Like Senior Data Architect


Free Download Data Architecture Mastery Think Like Senior Data Architect
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz
Language: English | Size: 5.36 GB | Duration: 19h 0m
Master data architecture decisions, patterns, and trade-offs – from lakehouse to AI-ready systems
What you’ll learn

Master core data modeling paradigms using first-principles frameworks that turn business Requirements into defensible architectural decisions.
Build lakehouses, data mesh platforms, streaming pipelines, and serving layers with clear tradeoff reasoning across cloud architectures and open table formats.
Design AI-ready architectures for RAG, vector databases, and agentic AI, with data quality, FinOps cost models, and operational SLOs built in from day one.
Apply governance, security, and compliance by design; prevent costly anti-patterns; and produce a portfolio ADR demonstrating senior architect-level thinking.
Understand how team topology and Conway’s Law shape data platforms, and make organizational design decisions that prevent architecture from drifting into chaos.
Evaluate emerging paradigms and build migration-ready architectures that adapt to change without full rewrites – a critical skill for long-lived platforms.
Requirements
Some experience in data engineering, analytics engineering, or a related data platform role.
Comfortable reading and understanding technical concepts – you work with data systems regularly, even if not as a hands-on coder.
Basic familiarity with data pipeline and storage concepts – terms like ETL, data warehouse, or data lake should not be new to you.
No prior architecture experience needed – this course builds structured architectural thinking from the ground up.
Description
Most data engineers can build pipelines. Few can architect systems that survive scale, regulation, cost pressure, and the next paradigm shift. This course closes that gap.Data Architecture Mastery teaches you to think like a senior data architect – not by memorizing tools, but by building a repeatable decision framework you can apply to any stack, any workload, and any constraint.What you’ll learnecompose any business requirement into six architectural constraint dimensions and use a weighted scoring framework to make defensible technology decisionsEvaluate storage paradigms – data warehouse, data lake, lakehouse, data mesh, and data fabric – and choose the right one for your workloadNavigate modern data paradigms: evaluate lakehouse architecture, open table formats, real-time OLAP engines, columnar storage, and medallion architecture – and know when each is the right call versus a legacy warehouseArchitect pipeline patterns across batch ETL/ELT, streaming, CDC, Lambda, Kappa, and Zero ETLApply data modeling paradigms – Kimball star schema, Inmon 3NF, Data Vault 2.0, MDM, SCD and One Big Table – to the right use caseBuild AI-ready platforms with RAG pipelines, embedding architectures, feature stores, and agentic AI systemsDesign the serving layer: semantic layers, data contracts, materialized views, and reverse ETLModel total cost of ownership, apply hot/warm/cold storage tiering, and use FinOps practices to prevent runaway cloud spendDefine SLOs with error budgets, design for failure with chaos engineering, and build production-grade observability into your pipelinesImplement privacy by design, data classification, active metadata, policy-as-code, access control architectures, and GDPR/CCPA compliance patternsApply Strangler Fig, Blue-Green deployment, and Parallel Run patterns for zero-risk platform migrationsAlign architecture with team structure using Conway’s Law, and avoid the most costly anti-patterns seen in production systemsDocument every decision using the Architecture Decision Canvas – a portfolio artifact you keep and build on after the courseEvery module builds on a single framework. By the end you’ll have a completed Architecture Decision Canvas for a real workload from your own platform – something you can present to leadership, defend in review, and update as Requirements change.This course is for senior data engineers, data architects, technical leads and even data engineering managers who want to move from building to designing, from tool familiarity to architectural reasoning, and from opinions to decisions they can defend in any room.
Data engineers who know the tools but want to level up into architectural thinking and design decisions.,Analytics engineers and data leads looking to expand their scope from pipeline-level to platform-level responsibility.,Engineers transitioning into data architect or staff engineer roles who need a structured, repeatable decision framework.,Teams preparing their data platforms for AI and GenAI workloads who need a principled, future-ready architecture approach.,Senior Engineering Managers, Data Directors & Technical Leads responsible for platform strategy and investment decisions who wants to gain deep data architectural knowledge and evaluate proposals critically, not just contextually.
Homepage
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https://www.udemy.com/course/data-architecture-mastery-think-like-senior-data-architect/


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No Password – Links are Interchangeable

Data Analyst Complete Course Excel Sql & Python Projects


MP4 | Free Download Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 16.44 GB | Duration: 30h 44m
Learn data analysis from scratch using Excel dashboards, SQL queries, Python automation & real-world projects (2026)
What you’ll learn
Analyze data using Microsoft Excel with formulas, functions, charts, pivot tables, dashboards, and projects

Clean, organize, and validate real-world data using Excel best practices
Create Excel dashboards and reports used in business and analyst roles
Write SQL queries to retrieve, filter, group, and analyze data from databases
Use SQL functions and JOINs to work with multiple tables
Learn Python fundamentals required for data analysis
Work with CSV and JSON files using Python
Perform data analysis using Python Pandas
Visualize data using Python charts and plots
Understand when to use Excel, SQL, or Python in real data analyst workflows
Apply skills through practical projects and real datasets
Build a strong foundation for entry-level data analyst roles
Requirements
No prior programming or data analysis experience required
Basic computer usage knowledge is enough
Willingness to learn and practice step by step
Description
Become a Data Analyst with Practical Skills – Not Just TheoryThis Data Analyst Bootcamp is designed for beginners who want a clear, structured, and practical path to learning data analysis using Excel, SQL, and Python.Instead of learning tools separately, this course shows you how data analysts actually work in real companies – starting with Excel, moving to SQL, and then using Python for automation and advanced analysis.What You Will Learn:• Use Excel for data cleaning, analysis, dashboards, and reporting• Write SQL queries to retrieve and analyze data from databases• Use Python for data handling, automation, and analysis with Pandas• Work on practical projects and real datasets• Understand how Excel, SQL, and Python work together in real analyst roles• Build a strong foundation for Data Analyst jobs or internshipsHow This Course Is Structured:This course follows a beginner-friendly, job-oriented sequence:Excel for Data Analysis – basics to advanced dashboards, projects, and AI-assisted ExcelSQL for Data Analysis – querying, filtering, functions, and joinsPython Foundations & Projects – complete Python basics with projectsPython for Data Analysis – Pandas, data visualization, and analysis workflowsAdditional Skills – automation, extra Excel topics, and practice datasetsTo give you the best learning experience, technical lessons are created with the help of experienced professionals, while the overall learning path, guidance, and support are provided directly by the instructor.Who this course is for:• Beginners who want to start a career as a Data Analyst• Students and fresh graduates from any background• Working professionals looking to switch to data roles• Excel users who want to upgrade to SQL and Python• Anyone who prefers clear explanations and practical learningNo prior programming or data experience is required.Who This Course Is NOT For:• Advanced data scientists• People looking only for deep machine learning or AI theory• Database administrators or backend developersThis course focuses on practical data analysis foundations, not advanced specialization.Why This Course Is Different:• Clear learning path instead of scattered topics• Strong focus on Excel dashboards and projects• Practical SQL and Python usage (not certification theory)• Beginner-friendly explanations• Designed for non-native English speakersStart Learning with Confidence:If you want a structured, practical, and beginner-friendly Data Analyst course that focuses on real skills, this bootcamp is for you.Enroll now and start your Data Analyst journey step by step.Let’s get started and build real-world data skills step by step.Post your questions in the Q&A section and I’ll support you throughout the journey.
Beginners who want to start a career in Data Analysis,Students and fresh graduates from any background,Working professionals planning to switch to Data Analyst roles,Excel users who want to upgrade their skills with SQL and Python,Non-technical learners who prefer clear and step-by-step explanations,Anyone preparing for entry-level data analyst jobs or internships
Homepage
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https://www.udemy.com/course/data-analyst-complete-course-excel-sql-python-projects/


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Data Analysis with Pandas and Python


Data Analysis with Pandas and Python
Genre: eLearning | MP4 | Video: h264, 1280×720 | Audio: aac, 48000 Hz
Language: English | Size: 6.11 GB | Duration: 20h 37m​

Analyze data quickly and easily with Python’s powerful pandas library! All datasets included — beginners welcome!

What you’ll learn
Perform a multitude of data operations in Python’s popular "pandas" library including grouping, pivoting, joining and more!
Learn hundreds of methods and attributes across numerous pandas objects
Possess a strong understanding of manipulating 1D, 2D, and 3D data sets
Resolve common issues in broken or incomplete data sets

Requirements
Basic / intermediate experience with Microsoft Excel or another spreadsheet software (common functions, vlookups, Pivot Tables etc)
Basic experience with the Python programming language
Strong knowledge of data types (strings, integers, floating points, booleans) etc

Description
Student Testimonials:

The instructor knows the material, and has detailed explanation on every topic he discusses. Has clarity too, and warns students of potential pitfalls. He has a very logical explanation, and it is easy to follow him. I highly recommend this class, and would look into taking a new class from him. – Diana

This is excellent, and I cannot complement the instructor enough. Extremely clear, relevant, and high quality – with helpful practical tips and advice. Would recommend this to anyone wanting to learn pandas. Lessons are well constructed. I’m actually surprised at how well done this is. I don’t give many 5 stars, but this has earned it so far. – Michael

This course is very thorough, clear, and well thought out. This is the best Udemy course I have taken thus far. (This is my third course.) The instruction is excellent! – James

Welcome to the most comprehensive Pandas course available on Udemy! An excellent choice for both beginners and experts looking to expand their knowledge on one of the most popular Python libraries in the world!

Data Analysis with Pandas and Python offers 19+ hours of in-depth video tutorials on the most powerful data analysis toolkit available today. Lessons include:

installing

sorting

filtering

grouping

aggregating

de-duplicating

pivoting

munging

deleting

merging

visualizing

and more!

Why learn pandas?

If you’ve spent time in a spreadsheet software like Microsoft Excel, Apple Numbers, or Google Sheets and are eager to take your data analysis skills to the next level, this course is for you!

Data Analysis with Pandas and Python introduces you to the popular Pandas library built on top of the Python programming language.

Pandas is a powerhouse tool that allows you to do anything and everything with colossal data sets – analyzing, organizing, sorting, filtering, pivoting, aggregating, munging, cleaning, calculating, and more!

I call it "Excel on steroids"!

Over the course of more than 19 hours, I’ll take you step-by-step through Pandas, from installation to visualization! We’ll cover hundreds of different methods, attributes, features, and functionalities packed away inside this awesome library. We’ll dive into tons of different datasets, short and long, broken and pristine, to demonstrate the incredible versatility and efficiency of this package.

Data Analysis with Pandas and Python is bundled with dozens of datasets for you to use. Dive right in and follow along with my lessons to see how easy it is to get started with pandas!

Whether you’re a new data analyst or have spent years (cough too long cough) in Excel, Data Analysis with pandas and Python offers you an incredible introduction to one of the most powerful data toolkits available today!

Who this course is for:
Data analysts and business analysts
Excel users looking to learn a more powerful software for data analysis

RapidGator
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Data Analysis and Visualization with Microsoft Power BI 2020


Free Download Data Analysis and Visualization with Microsoft Power BI 2020
Last updated 11/2020
MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch
Language: English | Duration: 2h 45m | Size: 915.82 MB
Analyze , Transform & Visualize Data with Microsoft Power BI Desktop with hands-on projects lab work

What you’ll learn
At the end of this course students will be able to analyze data from different data sources and create their own datasets
Importing data from CSV, Excel and other sources in Power BI
Data Analytics
Different Data Visualization techniques
Students will have the required knowledge to dive deeper into Power BI and find out more about its advanced features
Requirements
PC with Microsoft Windows
Basic understanding of Data Analysis and Data Visualization (but not mandatory)
Microsoft Power BI Desktop installed on your system
Description
This course teaches you how to do Data Analysis and Visualization in Microsoft Power BI Desktop.
You want to analyze data from single or multiple sources? You want to create your individual datasets based on these sources and transform your results into beautiful and easy-to-make visualizations? You also want to share your results with colleagues or collaborate on your projects? Finally, you want to be able to access your data from multiple devices? Then the Power BI tools are the tools to choose for you!
This is what you will learn
• Get to know the different tools of the Power BI universe and learn how to use them
• Understand Power BI Desktop and its components
• Learn how to use the Query Editor to connect Power BI to various source types, how to work on the Data Model, and understand the difference between those two steps
• How to work in the different views of the Data Model
• How to create calculated columns and measures
• How to create a report with different interactive visualization types
This course if for
• People who never worked with Power BI and who want to understand how to use these tools
• People who want to learn to analyze and to visualize the data in Microsoft Power BI
• People with no or less knowledge of Data Analysis and Visualization
• Students of Business operations
• Owners of any business who want to see the day-to-day position of their business
• Everyone who wants to be an expert in Data Analytics and Microsoft Power BI
We would be happy to welcome you to this course!
Who this course is for
Anyone having the need to learn Data Analysis and Data Visualization using Microsoft Power BI


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Data + AgenticAI Academy 2026


Free Download Data + AgenticAI Academy 2026
Last updated 4/2026
MP4 | Video: h264, 1920×1080 | Audio: AAC, 44.1 KHz
Language: English | Size: 11.95 GB | Duration: 13h 48m
Develop Critical Thinking, Data Skills, and AgenticAI for Future Careers

What you’ll learn
Interpret how industries, data platforms, and workflows connect to create real-world value beyond isolated tools or technologies.
Master critical thinking for data careers: SWOT, risk analysis, design thinking, problem-solving, and real-world business decision making.
Apply essential engineering practices: Git, DevOps, CI/CD, MLOps, Cloud platforms, ETL, Agile, and solution architecture for real-world projects.
Assess how automation, agents, and AI can augment decision-making and operational workflows in modern organisations.
Requirements
Curiosity, ambition, and a desire to build a long-term career in data, AI, or tech.
No programming experience is required, everything is explained from first principles, with optional depth for those who have prior exposure
Description
The Data + AgenticAI Academy is designed to take you from curiosity to capability in one of the most important domains shaping the future of work. We are living in a world where data is everywhere-but real value comes from knowing how to think about it, structure it, and ultimately turn it into intelligent action. This course is built specifically for early-career professionals, students, and career switchers who want to build critical, job-ready skills without needing a deeply technical background. You will learn how industries actually work, how data flows through modern systems, and how AI-especially agentic AI-is transforming decision-making and operations. Rather than focusing only on theory, this Academy bridges the gap between learning and doing, helping you understand not just what tools exist, but how and why they are used in real-world environments. By the end, you will have a clear model of data ecosystems, the confidence to engage with technical teams, and the foundational skills to step into roles across data, analytics, and AI-driven organisations. This is a structured pathway into future careers.Module overview:Industry Insider Secrets – Understand how industries operate, how value is created, and how to analyse markets and organisations.Critical Thinking Accelerators – Learn frameworks like SWOT, design thinking, and process mapping to improve decision-making and problem-solving.Data Literacy – Build a clear understanding of data structures, architectures, and how data behaves in real systems.ETL – Learn how data is collected, transformed, and moved across systems to make it usable and reliable.Engineering Essentials – Gain foundational knowledge of modern engineering concepts that underpin data platforms.Modern Methodologies – Explore agile, product thinking, and delivery approaches used in high-performing teams.AgenticAI – Understand how AI agents work, how they interact with data, and how they are shaping the future of intelligent systems.This course is for educational purposes only; while every effort has been made to ensure accuracy, you should verify details independently and seek professional advice before making decisions.No guarantees or liability are provided for outcomes, and all views are personal, vendor-neutral, and independent of any affiliated organisations.
This course is for college students, university students, graduates, early career, career changers, and anyone seeking career growth in data and AgenticAI.,Learners from a STEM backgroun (Science, Technology, Engineering, Mathematics) wanting a career in data and AgenticAI.,Designed for anyone in data or tech who wants more than just technical skills – perfect for those ready to build confidence, land jobs, and grow long-term careers.
Homepage
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https://www.udemy.com/course/data-agenticai-academy/


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