Data Science Category Description

  • Definition: The Data Science category focuses on extracting insights from data using statistical, mathematical, and computational techniques.

  • Key Components:

    • Data Manipulation: Techniques for cleaning and transforming raw data.
    • Machine Learning: Algorithms that enable systems to learn from data and make predictions.
    • Data Visualization: Tools for creating visual representations of data to highlight trends and patterns.
    • Predictive Analytics: Methods for forecasting future outcomes based on historical data.
  • Tools and Technologies:

    • Programming Languages: Python, R, SQL.
    • Software: Tableau, Hadoop, TensorFlow.
  • Applications:

    • Industries: Finance, healthcare, marketing, technology.
    • Impact: Data-driven decision-making, optimizing operations, driving innovation.
  • Learning Outcomes: Students gain hands-on experience and skills to analyze complex data sets, enabling them to contribute effectively in data-centric roles.

معرفی کورس:

کورس ابتدایی و متوسط پروگرام SPSS یک برنامه آموزشی جامع است که برای تقویت مهارت‌های شما در تحلیل و مدیریت ډيټا طراحی شده است. در طول این دوره، شما می‌آموزید که چگونه ډیټا را وارد، تنظیم، تحلیل و نتایج را به شکل‌های آماری و گرافیکی گزارش دهید. این کورس برای محصلین، محققین، و کسانی که می‌خواهند در عرصه تحلیل ډیټا مهارت‌های عملی به‌دست آورند، مناسب است.

از طریق مثال‌های واقعی و تمرین‌های عملی، اشتراک‌کنندگان توانایی کار با ابزارها و تکنیک‌های کلیدی SPSS را به‌صورت مرحله‌وار به‌دست خواهند آورد.

تقدیم‌کننده کورس:
این کورس توسط استاد احمد انورزاد تقدیم می‌گردد؛ ایشان دارای تجربه چندین‌ساله در زمینه تحقیق و تحلیل ډیټا بوده و با روش تدریس عملی، ساده و مؤثر شناخته می‌شوند. سبک تدریس استاد انورزاد بر پایه‌ی آموزش گام‌به‌گام، مثال‌های واقعی و تشویق شاگردان به تمرین عملی است.

سرتیفیکیت کورس:
سرتیفیکیت «Qalam Scholar Certificate» دارای اعتبار بین‌المللی بوده و از طریق بارکود قابل تأیید است. این سرتیفیکیت اعتبار علمی شما را افزایش داده و در به‌دست آوردن فرصت‌های شغلی ملی و بین‌المللی کمک می‌کند.

اهداف آموزشی:
در پایان این کورس، اشتراک‌کنندگان قادر خواهند بود تا:

·      پرسشنامه‌ها و متغیرها را طراحی و بازکُدگذاری نمایند

·      تحلیل‌های آماری پایه مانند میانگین، میانه و انحراف معیار را انجام دهند

·      ډیټا را از طریق چارت‌ها و گراف‌ها به‌صورت بصری نمایش دهند

·      نتایج تحقیق را تحلیل و تفسیر علمی ارائه کنند

Course rating:

5.0(1)

معرفی کورس

کورس دورهٔ جامع کوبو تول باکس (Kobo Toolbox) یک برنامهٔ آموزشی کامل و عملی است که برای محصلین، محققین، و کارمندان موسسات ملی و بین‌المللی طراحی شده است. در این کورس، شما به‌گونه مرحله‌به‌مرحله یاد می‌گیرید که چگونه پرسش‌نامه‌های آنلاین و آفلاین بسازید، دیتا را جمع‌آوری و مدیریت نمایید و نتایج آن‌را صادر و تحلیل کنید.

ارایه کننده کورس

ارایه کنندهٔ این کورس استاد احمد انورزاد است که در بخش سروې، ریسرچ، و جمع‌آوری و مدیریت ډیټا تجربهٔ چندین ساله دارد. ایشان در کنار تدریس اکادمیک، با موسسات ملی و بین‌المللی همکاری نموده و پروژه‌های متعددی در عرصهٔ دیتا کالکشن مدیریت کرده‌اند. درس‌های استاد انورزاد به‌صورت ساده، روان و عملی برای تمام محصلین قابل درک می‌باشد.

سرتیفیکیت کورس

پس از تکمیل موفقانه کورس، محصلین سرتیفیکیت معتبر از قلم سکالر دریافت می‌کنند.
این سرتیفیکیت:

  • دارای اعتبار بین‌المللی است.
  • توسط بارکود آنلاین قابل تصدیق می‌باشد.
  • برای جستجوی وظایف ملی و بین‌المللی یک امتیاز مهم محسوب می‌شود.

 اهداف آموزشی کورس

بعد از تکمیل این کورس شما قادر خواهید بود:

  • یک حساب در Kobo Toolbox ایجاد و مدیریت کنید.
  • فورم‌های مختلف (ساده و پیچیده) طراحی نمایید.
  • از انواع سوالات (متنی، انتخابی، تاریخ، عکس و صوت) استفاده کنید.
  • فورم‌ها را در اپلیکیشن KoboCollect تست و اجرا کنید.
  • دیتا را آنلاین و آفلاین جمع‌آوری کنید.
  • نتایج جمع‌آوری‌شده را به Excel/CSV صادر کرده و تحلیل ابتدایی انجام دهید.
  • فورم‌های دارای منطق (Skip Logic و Validation) بسازید.
  • مدیریت پروژه‌های میدانی و تیمی را با Kobo Toolbox انجام دهید.

 

Course rating:

5.0(1)

د کورس پیژندنه

د GIS دغه کورس د نوو پیل کوونکو لپاره ترتیب شوی تر څو دغه پروګرام په عملي توګه د ځانګړو موخو لپاره وکاروي. په دغه کورس کې عملي برخې ته ډیره پاملرنه شوې او زده کوونکي کولای شي د دغه کورس تر تکمیل وروسته نیغ په نیغه د دغه پروګرام له ګټو څخه استفاده وکړي. دغه کورس څوارلس ویدیويي درسونه، کورنۍ دندې او وروستۍ ازموینه لري، چې زده کوونکی یې تر تکمیلولو وروسته معتبر سرتیفیکیت هم ترلاسه کولای شي.

د کورس زده کړه ایزې موخې

د دغه کورس تر تکمیل وروسته تاسو کولای شئ:

1.    د GIS اساسي مفاهیم او نظریات پوهه ترلاسه کړئ.
2.    د جغرافیایي معلوماتو د راټولولو او پروسس کولو توان ولرئ.
3.    د
GIS سافټویر کارولو مهارتونه، لکه ArcGIS.
4.    د
spatial data تحلیل او تفسیر کړای شئ.
5.    د نقشو جوړولو او معلوماتو د نمایندګۍ توان ولرئ.
6.    د
GIS په مرسته د مختلفو مسلو حل کولو وړتیا ترلاسه کړئ.
7.    د
GIS په مختلفو سکتورونو کې د استعمال په اړه پوهه ترلاسه کړئ، لکه چاپیریال، پلان جوړونه، او ترانسپورت.

 

د کورس برخې

1.    درسي ویدیوګانې;

2.     کورنۍ دنده;

3.     د پای ازموینه;

4.     سرتیفیکیت.

 

د زده کوونکي مسؤولیتونه:

1.       د ټاکل شوو ویدیويي درسونو څخه استفاده کول.

2.       ټاکل شوې کورنې دنده تکمیلول او دلته پورته کول.

3.       وروستئ ازموینه ترسره کول.

 

Course rating: 5.0(1)

Course Introduction

This course, titled Tableau Business Intelligence Ad Free Course, is a comprehensive and professionally structured learning program designed to develop strong analytical, visualization, and reporting skills using Tableau, one of the world’s leading Business Intelligence (BI) tools. Throughout this course, students will explore the fundamental and advanced features of Tableau, learning how to transform raw data into meaningful, interactive, and visually compelling dashboards. The course is tailored for learners who aspire to strengthen their BI capabilities, improve decision-making skills, and develop industry-recognized expertise in data visualization.

The program covers a wide scope—from beginner-level Tableau navigation to expert-level dashboard engineering—ensuring that students gain a complete and practical understanding of Tableau workflows. With each module, students will apply Tableau techniques to real-world business scenarios, enabling them to craft dashboards that are flexible, insightful, and highly relevant in modern data-driven industries.

Course Duration and Modules

The total video duration of the course is 10 hours, 14 minutes, and 1 second, distributed across five progressive learning modules. This course is self-paced, allowing learners to advance according to their personal schedule while ensuring full comprehension of each module.

Total Learning Time

  • Total Course Duration: 10 hours, 14 minutes, 01 second
  • Recommended Weekly Study Commitment: 6–8 hours
  • Estimated Completion Time: 2–3 weeks (self-paced)
  • Learning Components: Video lessons, practical dashboard tasks, assignments, and an exam.

Modules and Video Lecture Titles

  1. Tableau Business Intelligence Beginner Tutorial – 2:50:07
  2. Tableau Business Intelligence Intermediate Tutorial – 1:46:29
  3. Tableau Business Intelligence Advanced – 2:19:22
  4. Tableau Business Intelligence Expert – 1:51:02
  5. Tableau Business Intelligence Master – 1:28:01

Learners are advised to complete the modules in sequence to fully benefit from the progressive learning structure. Each video includes hands-on demonstrations, business-case dashboards, and practical exercises to enhance skill mastery.

Course Presenter

The course is presented by Learn Skills Daily, a recognized educational provider specializing in practical, career-focused training. Learn Skills Daily is known for delivering clear, structured, and highly applicable instructional content. Their teaching style blends practical demonstrations with real-world case studies, ensuring that students not only understand Tableau concepts but can confidently apply them in business environments.

The presenter emphasizes clarity, real-time problem-solving, and dashboard-driven learning, making the course engaging, insightful, and immediately actionable.

Course Certificate

The Qalam Scholar Certificate awarded upon successful course completion holds international recognition. Each certificate is equipped with a barcode verification system, enabling employers and institutions worldwide to authenticate the certificate instantly. This enhances your professional credibility and strengthens your opportunities for national and international employment in Business Intelligence, Data Analysis, and related fields.

Learning Objectives

By the end of this course, students will be able to:

  • Develop professional-grade Tableau dashboards using industry best practices.
  • Analyze datasets and produce meaningful business insights using Tableau tools.
  • Design flexible, interactive visualizations suitable for organizational reporting.
  • Apply Tableau workflows to real-world business scenarios and case studies.
  • Optimize dashboards for user experience, performance, and decision-making.
  • Build and customize worksheets, reports, and dashboards for diverse business functions.
Course rating:

5.0(1)

Course Introduction

This course, titled Tableau Data Visualization Ad  Course, is a comprehensive program designed to help students master Tableau’s powerful data visualization capabilities. Throughout the course, students will learn to connect to data sources, create univariate, bivariate, and multivariate charts, design interactive dashboards, and apply best practices for reporting and sharing insights. It is tailored for analysts, business professionals, and anyone who wants to communicate data effectively through compelling visualizations.

Course Duration and Modules

  • Overall Duration: Self-paced, designed to be completed in approximately 12 weeks.
  • Total Learning Hours: 11 hours and 12 minutes of video content across 6 modules, with additional exercises and assignments.
  • Weekly Commitment: Approximately 1–2 hours per week, including practice and assignments.

Course Modules & Video Titles

Module Video Lecture Title Duration
1 Tableau Data Visualization Beginner 1:56:50
2 Tableau Data Visualization Intermediate 1:42:01
3 Tableau Data Visualization Advanced 2:16:17
4 Tableau Data Visualization Expert 1:58:42
5 Tableau Data Visualization Master 1:32:08
6 Tableau Data Visualization Professional 1:47:19

Course Presenter

The course is presented by Learn Skills Daily, an organization with extensive expertise in Tableau and business intelligence. The instructor is known for a clear, hands-on teaching style that blends theory with practical exercises, allowing students to immediately apply skills to real-world scenarios.

Course Certificate

Upon successful completion, students will receive a Qalam Scholar Certificate, internationally recognized and verifiable via a barcode. This certificate strengthens professional credibility and supports career advancement in analytics, business intelligence, and data visualization roles worldwide.

Learning Objectives

By the end of this course, students will be able to:

  • Connect Tableau to multiple data sources and prepare datasets for analysis.
  • Create univariate, bivariate, and multivariate visualizations.
  • Design interactive dashboards with filters, parameters, and actions.
  • Calculate user-defined fields and customize visualizations for insights.
  • Export and share dashboards and reports effectively with stakeholders.
  • Apply best practices for summarizing, analyzing, and interpreting data visually.
Course rating:

5.0(1)

Course Introduction:

This course, titled Power BI Basics Full Course, is a comprehensive training program designed to introduce learners to the core principles of data analysis, data modeling, and business intelligence using Microsoft Power BI. Throughout the course, students will learn how to import data from multiple sources, transform and clean data through Power Query, build visually compelling reports, and create interactive dashboards. It is tailored for business analysts, data analysts, managers, and beginners who want to develop a strong foundation in business analytics and data visualization.

Course Duration and Modules:

The course includes three complete instructional modules delivered through high-quality video lectures.

  • Overall Duration: Self-paced, typically completed in 2–4 weeks.
  • Total Video Duration:
    • Power BI Beginner Tutorial: 1:06:43
    • Power BI Intermediate Tutorial: 33:56
    • Power BI Advanced Tutorial: 59:52
    • Total Video Time: 2 hours, 40 minutes, 31 seconds
  • Total Learning Hours: Approximately 10–12 learning hours including practice, assignments, and exercises.
  • Weekly Commitment: 3–4 hours per week recommended.
  • Pacing: This is a self-paced program designed to be completed flexibly based on learner availability.

Modules and Video Lectures:

  1. Power BI Basics Beginner Tutorial – 1:06:43
  2. Power BI Basics Intermediate Tutorial – 33:56
  3. Power BI Basics Advanced Tutorial – 59:52

Course Presenter:

The course is presented by Learn Skills Daily, a professional training organization with extensive experience in delivering software-based education. Their teaching approach is practical, structured, and designed for real-world application. The presenter uses clear explanations, hands-on demonstrations, and downloadable exercise files to ensure an effective learning experience for beginners and professionals alike.

Course Certificate:

Upon successful completion, learners receive the Qalam Scholar International Certificate, which includes barcode verification for authenticity. This certificate is recognized internationally and enhances students’ credibility for professional, academic, and global career opportunities.

Learning Objectives:

By the end of this course, students will be able to:

  • Import and connect data from various sources into Power BI Desktop.
  • Clean, transform, and prepare datasets using Power Query.
  • Build interactive reports using Power BI visuals and layout tools.
  • Combine and model data from multiple sources effectively.
  • Design dynamic dashboards for business-ready insights and presentations.
  • Publish, share, and manage Power BI reports professionally.
Course rating:

5.0(1)

Course Introduction:

This course, titled SQL Server Reporting Services: Data Analysis – Ad Free Course, is a comprehensive training program designed to equip learners with the essential skills required to create, manage, and deploy professional-grade reports using SQL Server Reporting Services (SSRS). Throughout the course, students will explore the foundational concepts of reporting, data source configuration, dataset creation, and paginated report development. It is tailored for SQL Server administrators, data analysts, reporting professionals, and learners who wish to build a strong, practical foundation in SSRS-based reporting and data presentation.

Course Duration and Modules:

The course consists of four structured modules, delivered through high-quality video lectures. The total combined duration of all videos is:

• Beginner Tutorial: 1:34:32

• Intermediate Tutorial: 1:44:17

• Advanced Tutorial: 1:58:19

• Expert Tutorial: 1:53:38

Total Exact Duration:
➡ 7 hours, 10 minutes, and 46 seconds

Overall Duration Recommendation:
This course is designed to be completed within 2–3 weeks.

Total Learning Hours:
Approximately 20–25 learning hours, including video lessons, assignments, practice exercises, and self-study.

Weekly Commitment:
Learners are encouraged to dedicate 6–8 hours per week for optimal progress.

Pacing:
This is a self-paced course, allowing learners to complete content and assignments flexibly.

Modules Covered:

1. SQL Server Reporting Services: Data Analysis – Beginner Tutorial

2. SQL Server Reporting Services: Data Analysis – Intermediate Tutorial

3. SQL Server Reporting Services: Data Analysis – Advanced Tutorial

4. SQL Server Reporting Services: Data Analysis – Expert Tutorial

A proper way to complete the course is to watch the modules in sequential order, complete the assignments, and attempt the final exam after practicing hands-on with SSRS tools such as Report Builder and Visual Studio Report Designer.

Course Presenter:

The course is presented by Learn Skills Daily, a professional learning platform known for delivering practical, hands-on training in data technologies. The presenter specializes in SQL Server environments, reporting solutions, and enterprise data workflows. Their teaching style is clear, structured, and application-focused, allowing learners to easily follow along and apply the techniques in real-world scenarios.

Course Certificate:

Upon completion, learners will receive the Qalam Scholar Certificate, which holds international recognition. Each certificate contains a unique barcode for online verification, ensuring authenticity and enhancing professional credibility for both national and international career opportunities.

Learning Objectives:

By the end of this course, students will be able to:

· Understand core SSRS architecture, components, and workflow.

· Configure and manage data sources within SSRS environments.

· Build efficient datasets using queries, stored procedures, and filters.

· Design and format professional paginated reports using Report Builder and Visual Studio.

· Publish, deploy, and manage reports on the SSRS server.

· Apply best practices for report automation, data security, and user access.

Course rating:

5.0(1)