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Excel VBA Programming – The Complete Guide

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Excel Power Query Crash Course

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Size: 743.95 MB
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Published 10/2025 Created by James Joab Soren MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: All | Genre: eLearning | Language: English | Duration: 10 Lectures ( 5h 2m ) | Size: 1.74 GB​

Master Excel automation with Python scripts to handle data entry, cleaning, and reporting faster than ever

What you’ll learn
Automate Excel files with Python – read, write, and update workbooks programmatically
Use powerful libraries like pandas, openpyxl, and xlwings for automation
Build scripts to automatically clean, organize, and format large datasets
Generate Excel reports, charts, and dashboards with Python
Merge and analyze multiple Excel files with just a few lines of code
Schedule Python scripts to update your Excel reports automatically
Integrate Python with Excel for business, finance, and data analytics workflows
Replace manual tasks with automated Python processes

Requirements
No Prior Experience Required

Description
Excel Automation with PythonAre you tired of spending hours cleaning data, formatting sheets, or generating the same reports in Excel?This course will show you how to automate Excel completely using Python – saving you time, reducing human error, and boosting productivity.You’ll learn step-by-step how to connect Python with Excel to automate everything from data entry and analysis to dashboard creation and report generation. Whether you’re a beginner or an experienced Excel user, this course will help you take your workflow to the next level.What You’ll LearnAutomate repetitive Excel tasks such as data entry, formatting, and report updatesUse Python libraries like openpyxl, pandas, and xlwings to control Excel filesRead, write, and modify Excel spreadsheets programmaticallyGenerate automated reports and charts using PythonClean and organize large datasets faster with Python instead of formulas or VBABuild dynamic dashboards and data summaries automaticallyCombine Python and Excel for business, finance, or data analysis tasksSchedule and run Excel automations without manual effortWho This Course Is ForAnyone looking to learn python and automate reports, data entry, and dashboardsCourse OverviewThrough practical, hands-on projects, you’ll master how to:Connect Python with ExcelManipulate and analyze data directly in ExcelAutomate complex workflows step-by-stepCreate professional reports and dashboards automaticallyNo prior programming experience is required – the course starts from the basics and gradually moves to advanced automation projects.By the end of this course, you’ll have built your own automation scripts that can transform how you use Excel every day.Enroll now and start automating your Excel tasks with Python like a pro.

Who this course is for
Anyone who wants to automate repetitive Excel tasks

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Released 3/2026 By Sean Douglas MP4 | Video: h264, 1280×720 | Audio: AAC, 44.1 KHz, 2 Ch Level: Intermediate | Genre: eLearning | Language: English + subtitle | Duration: 34m 30s | Size: 79 MB​

The Cisco DCCOR (350-601) exam is a core requirement for earning the CCNP Data Center certification and can be an intimidating challenge without the right preparation.

What you’ll learn
The Cisco DCCOR (350-601) exam is a core requirement for earning the CCNP Data Center certification and can be an intimidating challenge without the right preparation. In this course, Exam Prep for DCCOR (350-601), you’ll gain a structured and practical approach to preparing for the exam and navigating the testing experience with confidence. First, you’ll explore the exam format, rules, and delivery environment so there are no surprises on test day. Next, you’ll review each exam domain and learn how to create a focused study plan and an efficient workspace that supports consistent preparation. Finally, you’ll walk through realistic test-day scenarios, including proctoring protocols and pacing strategies that help you stay calm and manage your time effectively. When you’re finished with this course, you’ll have the skills and knowledge needed to approach the DCCOR (350-601) exam with confidence, focus your preparation on the most important topics, and apply practical strategies that support exam success.

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Evolve and Govern Data Models
.MP4, AVC, 1920×1080, 30 fps | English, AAC, 2 Ch | 1h 25m | 186 MB
Instructor: Warner Chaves​

Data models must adapt over time. This course will teach you how to evolve, document, and govern data models so they remain accurate, trusted, and aligned to business needs.

What you’ll learn

Data models rarely stay static-business needs, systems, and requirements change constantly. Without a clear approach to managing this evolution, organizations quickly lose trust in their data.

In this course, Evolve and Govern Data Models, you’ll gain the ability to manage the lifecycle, documentation, and governance practices required to keep data models healthy and trustworthy.

First, you’ll explore why and how data models evolve, learning common triggers, versioning strategies, and communication practices.

Next, you’ll discover how to document and communicate data models using clear visuals, metadata, and semantic layers that help downstream users interpret data correctly.

Finally, you’ll learn how to apply governance and quality principles so your models remain consistent, compliant, and aligned with enterprise standards as they grow.

When you’re finished with this course, you’ll have the skills and knowledge of data model evolution and governance needed to maintain scalable, trustworthy models across your organization.

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Event-driven Agentic AI
.MP4, AVC, 1280×720, 30 fps | English, AAC, 2 Ch | 1h 1m | 165 MB
Instructor: Fiodar Sazanavets​

This course will teach you to design, build, and operate event-driven agentic systems that connect event-processing systems, like Kafka or Azure Event Grid to LLM-powered agents with durable workflows.

What you’ll learn

Many teams have built LLM agents that work in demos but break under real-time pressure: missing webhooks, duplicating actions, racing on shared state, and failing audits. In this course, Event-driven Agentic AI, you’ll learn to design, build, and operate real-time, event-driven agentic systems.

First, you’ll explore the foundations of event-driven architecture and why it matters for autonomous agents, including common event sources and high-value use cases. Next, you’ll discover architectural patterns and frameworks: event buses, such as Event Grid, and pub/sub, workflow orchestration, such as Durable Azure Functions. You will also learn strategies for state consistency, retries, and idempotency. Finally, you’ll learn how to implement, test, observe, and secure production-grade agents with tracing/metrics/logs, guardrails, and auditability.

When you’re finished with this course, you’ll have the skills and knowledge of event-driven agentic systems needed to deliver reliable, low-latency, and auditable automation at scale.

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Year of release : February 2025
Manufacturer : Published by Pearson Via O’Reilly Learning
Author : Sinan Ozdemir
Duration : 7h 56m
Type of material given : Video lesson
Language : En
Description:
The Sneak Peek program provides early access to Pearson video products and is exclusively available to subscribers. Content for titles in this program is made available throughout the development cycle, so products may not be complete, edited, or finalized, including video post-production editing.
Content
Introduction
Lesson 1 Foundations of LLM Evaluation
Lesson 2 Evaluating Generative Tasks
Lesson 3 Evaluating Understanding Tasks
Lesson 4 Using Benchmarks Effectively
Lesson 5 Probing LLMs for a World Model
Lesson 6 Evaluating LLM Fine-Tuning
Lesson 7 Case Studies
Lesson 8 Summary of Evaluation and Looking Ahead
Summary
Example files : no
Format Video : mp4
Video : AVC, 1280 x 720, 16: 9, 30.000 FPS, 3,000 KB/S (0.017 Bit/Pixel)
Аудио: AAC, 44.1 KHz, 2 channels, 128 kb/s, CBR

Evaluating Large Language Models (LLMs) (2.15 GB)

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https://rapidgator.net/file/301ff10398fa59de2002f0797af9934b/Evaluating.Large.Language.Models.LLMs.part2.rar