IKRAM UD DIN Data Engineer and Math Tutor
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Welcome! With over two years of hands-on experience as a proficient Data Engineer and accomplished Math Tutor, I bring a unique blend of practical data expertise and comprehensive math instruction to the table. My passion lies in fostering a deep understanding of mathematical concepts while emphasizing their practical applications in the realm of data engineering. By combining my industry experience with my teaching proficiency, I strive to empower students to not only excel in mathematics but also grasp its pivotal role in the dynamic world of data. Join me on a journey to unravel the intricacies of numbers and data, and let's pave the way for a future fueled by knowledge and innovation.

Subjects

Maths Beginner-Expert
Data Analytics Beginner-Expert
Data analysis and visualization Beginner-Expert
Database Development Beginner-Expert
Linux System Programming Intermediate-Expert

Experience

Data Engineer and Tutoring Maths (Jul, 2021–Present) at Freelancing

I am a dedicated Data Engineer and Math Tutor with a passion for both the world of numbers and the realm of data. With a strong background in data engineering, I bring real-world relevance to my math tutoring sessions. My goal is to not only help students excel in mathematics but also to showcase the practical applications of math in the field of data engineering. With my guidance, students can develop a comprehensive understanding of mathematical concepts while gaining insights into their application in the modern technological landscape. Let's work together to unlock the power of numbers and data!

Education

Computer Systems Engineering (Sep, 2018–Aug, 2022) from University of engineering and technology Peshawar Pakistan

Fee details

Rs600–1,000/hour (US$2.16–3.60/hour)

Courses offered

Beginner's Data Analytics
- US$70
- Duration: 30 Days
- Delivery mode: Online
- Group size: Individual
- Instruction language: English, Urdu
- Certificate provided: No
Embark on a transformative journey into the world of data analytics with our intensive 30-day course tailored for beginners. Whether you're a budding data enthusiast or a professional looking to expand your skill set, this course will equip you with the fundamental knowledge and practical skills needed to dive into the realm of data analysis.
Led by seasoned industry experts, this course mirrors the comprehensive curriculum of the renowned IBM Data Analysis and Visualization course on Coursera, ensuring you receive top-notch instruction and guidance every step of the way.

**What You'll Learn:**

* Foundations of Data Analysis: Gain a solid understanding of the core concepts and principles underlying data analysis, including data types, structures, and manipulation techniques.
* Data Cleaning and Preparation: Master the art of data wrangling as you learn how to clean, preprocess, and transform raw data into a format suitable for analysis.
* Exploratory Data Analysis (EDA): Explore the power of EDA techniques to uncover patterns, trends, and relationships hidden within your data, using tools such as pandas, NumPy, and Matplotlib.
* Statistical Analysis: Delve into statistical methods and hypothesis testing to extract meaningful insights and make informed decisions based on data-driven evidence.
* Data Visualization: Learn how to create compelling visualizations that effectively communicate your findings to stakeholders, using popular tools like seaborn, Plotly, and Tableau.
* Introduction to Machine Learning: Get introduced to the basics of machine learning, including supervised and unsupervised learning techniques, to unleash the predictive power of your data.

**Course Format:**

** Duration: 30 days of intensive learning, with daily interactive sessions and hands-on assignments.
** Mode: Live online classes conducted via TeacherOn's interactive platform, allowing for real-time interaction with instructors and peers.
** Prerequisites: No prior experience in data analysis required. Basic knowledge of Python programming would be beneficial but not mandatory.
** Why Choose Us:**

Expert Guidance: Learn from industry experts with extensive experience in data analytics and education.
Hands-On Learning: Embark on a transformative journey into the world of data analytics with our intensive 15-day course tailored for beginners. Whether you're a budding data enthusiast or a professional looking to expand your skill set, this course will equip you with the fundamental knowledge and practical skills needed to dive into the realm of data analysis.

Led by seasoned industry experts, this course mirrors the comprehensive curriculum of the renowned IBM Data Analysis and Visualization course on Coursera, ensuring you receive top-notch instruction and guidance every step of the way.

What You'll Learn:

Foundations of Data Analysis: Gain a solid understanding of the core concepts and principles underlying data analysis, including data types, structures, and manipulation techniques.
Data Cleaning and Preparation: Master the art of data wrangling as you learn how to clean, preprocess, and transform raw data into a format suitable for analysis.
Exploratory Data Analysis (EDA): Explore the power of EDA techniques to uncover patterns, trends, and relationships hidden within your data, using tools such as pandas, NumPy, and Matplotlib.
Statistical Analysis: Delve into statistical methods and hypothesis testing to extract meaningful insights and make informed decisions based on data-driven evidence.
Data Visualization: Learn how to create compelling visualizations that effectively communicate your findings to stakeholders, using popular tools like seaborn, Plotly, and Tableau.
Introduction to Machine Learning: Get introduced to the basics of machine learning, including supervised and unsupervised learning techniques, to unleash the predictive power of your data.
Course Format:

Duration: 15 days of intensive learning, with daily interactive sessions and hands-on assignments.
Mode: Live online classes conducted via TeacherOn's interactive platform, allowing for real-time interaction with instructors and peers.
Prerequisites: No prior experience in data analysis required. Basic knowledge of Python programming would be beneficial but not mandatory.