Innovative Skills

Course Description

The "Data Analytics with Python, Power BI & Tableau" course is designed to provide a solid foundation in data analytics, covering essential tools and techniques for extracting, processing, analyzing, and visualizing data.

This course begins with Python, where learners will explore data manipulation using libraries like Pandas, NumPy, and Matplotlib, along with statistical analysis and machine learning basics. Moving to Power BI, participants will learn to create interactive dashboards, generate business insights, and automate reporting processes.

The course concludes with Tableau, focusing on advanced data visualization techniques, storytelling with data, and creating insightful reports. Through hands-on projects and real-world datasets, learners will gain practical experience to apply their knowledge in business intelligence, data-driven decision-making, and predictive analytics. Whether you're a beginner or a professional looking to enhance your data analytics skills, this course will prepare you for a successful career in Data Science, Business Intelligence, and Analytics.

Introduction to Data Analytics

Understanding Data Analytics and Its Applications
Types of Data Analytics (Descriptive. Diagnostic. Predictive. Prescriptive)
Data Analytics Process and Workflow

Python for Data Analytics

Introduction to Python and Jupyter Notebook
Data Manipulation with Pandas and NumPy
Data Visualization with Matplotlib and Seaborn
Exploratory Data Analysis (EDA)
Introduction to Machine Learning with Scikit-Learn

Excel for data analytics

Data Cleaning & Preparation
Data Analysis Functions
Pivot Tables for Data Summarization
Data Visualization

Business Intelligence with Power BI

Introduction to Databases and SQL
Writing Basic SQL Queries (SELECT. WHERE. ORDER BY)
Filtering and Aggregating Data (GROUP BY. HAVING)
SQL for Business Intelligence and Reporting
Data Cleaning and Transformation with SQL. Joins and Subqueries (INNER JOIN. LEFT JOIN. RIGHT JOIN)
Introduction to Power BI and Its Features
Connecting and Transforming Data in Power BI
Data Modeling and DAX (Data Analysis Expressions)
Creating Interactive Dashboards and Reports
Power BI Service and Report Publishing

Data Visualization with Tableau

Getting Started with Tableau
Connecting to Different Data Sources
Creating Charts. Graphs. and Maps
Dashboard Design and Data Storytelling
Advanced Visualizations and Calculations

Real-World Applications and Case Studies

Hands-on Projects Using Python. Power BI & Tableau
Data-Driven Decision-Making for Businesses
Industry-Specific Case Studies (Finance. Marketing. Healthcare. etc.)

Capstone Project and Career Guidance

End-to-End Data Analytics Project
Resume Building and Interview Preparation for Data Analytics Roles
Industry Best Practices and Future Trends in Data Analytics

Salman Md Sultan

Education

M.Sc. in Information and Communication Engineering, Chosun University, Gwangju, South Korea. CGPA: 4.25 out of 4.50, passing year: 2021., CGPA: 4.25 out of 4.50,
B.Sc. in Computer Science and Engineering, University of Asia Pacific, Dhaka, Bangladesh. CGPA: 3.75 out of 4.00, passing year: 2017., CGPA: 3.75 out of 4.00,
Higher Secondary Certificate (HSC): Science, Government Laboratory High School, Dhaka. GPA: 4.40 out of 5, passing year: 2013., GPA: 4.40 out of 5,
Secondary School Certificate (SSC): Science, Government Laboratory High School, Dhaka. GPA: 4.69 out of 5, passing year: 2011., GPA: 4.69 out of 5,

IT Industrial Experience (6 Years)

No.	Institution	Designation	Duration
1	Innovative Skills Ltd.	Chief Executive Officer (CEO)	2023-Continue
2	Gachon University	External AI Researcher	01/05/2023-Continue
3	European IT	Team Leader (R&D)	01/02/22-30/04/2023
4	TISCON	Python Developer	01/10/21-31/01/22
5	Chosun University	AI Research Programmer	03/09/19-31/08/21
6	Robi Axiata Limited	Report Analyst	10/04/18-30/09/18

Project/Research

2022-2023: Development of Collective Collaboration Intelligence Framework for Internet of Autonomous Things, South Korea. [RSSI, Localization, Data Analysis, Supervised Learning]
2023 [Running]: Geobag Counting using Deep Learning. [Yolov3, Django, MySQL, Bootstrap], jQuery]
2022-2023: Employee Attendance System using Computer Vision [OpenCV, Yolov3, Django, Firebase]
2021-2022: Intelligent platform for Indoor Spatial Data Infrastructure Based on Crowd-sourcing Behavior, South Korea. [RSSI, Localization, Data Analysis, Supervised Learning]
2020-2022: Smart city urban infrastructure air quality real-time monitoring and prediction platform technology development, South Korea. [Tensorflow, Deep Reinforcement Learning, LSTM, Drone Navigation, AQI Data Analysis]
2021: Employee Attendance System using Computer Vision [Dlib, Face_recognition API]
2021: Exam Proctoring System using Computer Vision [Dlib, Face_recognition, Yolov3]
2019-2021: Development of Autonomous Collaborative Swarm Intelligence Technologies, South Korea. [Tensorflow, Google Dev. Board, Deep Reinforcement Learning, LSTM, Dense, IoT]