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https://github.com/kumartusha/data_analysis_training_anudip_foundation

Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis
https://github.com/kumartusha/data_analysis_training_anudip_foundation

excel matplotlib numpy pandas powerbi python scipy sql

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Anudip Foundation Data Analytics Training 📊 A repository containing projects, assignments, and coursework from the Anudip Foundation Data Analytics training program. This includes work on: 🧹 Data Cleaning & Preprocessing 📉 Data Visualization & EDA 📊 Statistical Analysis

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README 

        
# 📊 **Data Analytics (No + Low Code) (DANLC)**  

Welcome to the **Data Analytics (No + Low Code) (DANLC)** course repository! This course is tailored for individuals looking to gain data analytics skills using minimal or no coding tools. Through this course, you'll learn advanced data visualization, Python programming, SQL, and essential business communication skills with real-world projects.



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## 📂 **Course Overview**  

The Data Analytics (No + Low Code) course is structured to help participants harness the power of low-code and no-code tools for data analysis. 


With a blend of **self-learning** and **Instructor-Led Training (ILT)**, this course prepares you for hands-on data analytics roles in the industry. 




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## 📅 **Index**



### 1️⃣ **No Code Data Visualization**  

   - **Advanced Excel**  

      ![Excel Icon](https://img.icons8.com/color/48/000000/microsoft-excel-2019.png)  

      Learn data visualization with advanced Excel functionalities like VLOOKUP, HLOOKUP, Pivot Tables, and Charts.  

      



   - **Power BI**  

      ![Power BI Icon](https://img.icons8.com/color/48/000000/power-bi.png)  

      Build interactive dashboards and visualizations using Power BI, including data loading, transformation, and report creation.  

      




### 2️⃣ **Python Programming**  

   ![Python Icon](https://img.icons8.com/color/48/000000/python--v1.png)  

   Master Python fundamentals, including syntax, data types, functions, and libraries like Pandas and NumPy, essential for data analysis and manipulation.  

   




### 3️⃣ **MySQL Database**  

   ![MySQL Icon](https://img.icons8.com/color/48/000000/mysql-logo.png)  

   Develop skills in SQL for data querying, manipulation, and database management. Topics include SELECT statements, joins, subqueries, and data normalization.  

   




### 4️⃣ **Communicative English**  

   ![English Icon](https://img.icons8.com/color/48/000000/language.png)  

   Enhance verbal and written communication skills, focusing on professional vocabulary, email etiquette, and presentation skills essential for a business environment.  

   




### 5️⃣ **Business Communication**  

   ![Communication Icon](https://img.icons8.com/color/48/000000/business.png)  

   Learn effective business communication techniques, including report writing, interpersonal skills, and handling professional interactions.  

   




### 6️⃣ **Project with Mentoring by Industry Professionals**  

   ![Project Icon](https://img.icons8.com/color/48/000000/task.png)  

   Apply your knowledge in a **capstone project** guided by industry mentors. Develop end-to-end data solutions with real-world datasets, and gain hands-on experience in problem-solving, data visualization, and reporting.  

   



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Each module provides in-depth, practical experience, helping you become proficient in data analysis, visualization, and communication skills essential for today's data-driven workplaces.



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## 📊 **Module Breakdown**  

| **Module**                           | **Total Duration (Hours)** | **Self-Learning (Hours)** | **ILT (Hours)** |

|--------------------------------------|----------------------------|----------------------------|------------------|

| No Code Data Visualization (data_vis) | 30                         | 14                         | 16               |

| Python Module (python_prog)          | 120                        | 20                         | 100              |

| SQL Module (sql_mdl)                 | 24                         | 4                          | 20               |

| Communicative English (com10wk_n)    | 60                         | 20                         | 40               |

| Business Communication (busi_com)    | 62                         | 32                         | 30               |

| Project with Mentoring (pro_mon_inds)| 24                         | 0                          | 24               |

| **Total Hours**                      | **320**                    | **90**                     | **230**          |  





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## 📝 **Curriculum**  

### 🔹 **Excel Table of Contents**  

1. **VLOOKUP and HLOOKUP Mastery**  

   - Overview of VLOOKUP and HLOOKUP  

   - Nested VLOOKUP and HLOOKUP  

   - Using INDEX and MATCH as alternatives  

   - Advanced lookup scenarios  

   



2. **IF Statements and Logical Functions**  

   - Advanced IF statements  

   - Nested IF functions  

   - Logical functions (AND, OR, NOT)  

   



3. **Array Formulas**  

   - SUMPRODUCT and SUMIFS, COUNTIF, COUNTIFS  

   







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### 📈 **Power BI Table of Contents**  

1. **Introduction to Power BI**  

   - Overview of Power BI  

   - Installing Power BI Desktop  

   - Getting Started with Power BI Service  

   



2. **Creating Visualizations**  

   - Loading Data into Power BI  

   - Building Simple Visualizations  

   - Customizing Visuals  

   







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### 🐍 **Python Table of Contents**  

1. **Introduction to Programming**  

   - Why Should You Learn to Write Programs?  

   - Understanding Computer Programs  

   



2. **Getting Started with Python**  

   - Installing Python Software  

   - Python Different Editors and IDEs  

   







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### 🛢️ **SQL Table of Contents**  

1. **Introduction to RDBMS**  

   - Overview of Relational Database Management System (RDBMS)  

   - The Relational Model  

   



2. **Basic MySQL Syntax**  

   - Understanding Basic MySQL Syntax  

   - Basic SQL Commands (SELECT, INSERT, UPDATE, DELETE)  

   







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Check out the **Kaggle Dataset** we’ll be using for this project here: [Link to Dataset](https://www.kaggle.com/) 




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## 🔗 **Useful Links**  

- [Kaggle Datasets](https://www.kaggle.com/)  

- [Power BI Documentation](https://docs.microsoft.com/power-bi)  

- [Python Official Documentation](https://docs.python.org/3/)  







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## 💻 **Getting Started**

### 1. Clone the Repository:

git clone https://github.com/your-username/DANLC.git

### 2. Install Required Packages:



For Python: pip install -r requirements.txt

### 3. Explore Modules: Each module has its own folder with detailed instructions, examples, and exercises.



## 👨‍💻 Contributions & Feedback

#### We welcome contributions and feedback! If you encounter issues or have suggestions for improvement, feel free to open an issue or submit a pull request.

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