- Course-End Certificate
Certificate Program in Data Science with Python
Data Science is one of the fastest-growing fields, helping organizations make informed decisions through data analysis. From banking and healthcare to energy and e-commerce, the demand for skilled data professionals continues to grow. To prepare learners for this promising career, MEEK Technologies Limited offers the Certificate Program in Data Science with Python, covering Python programming, data analysis, data visualization, and practical projects to develop industry-relevant skills and prepare learners for real-world challenges.
Duration
30 Hours (15 Evenings)
Mode
Live Online (Zoom)
Certification
Course Certificate
Course Free
BDT 6,000
Why Data Science is Crucial for Your Career
বিশেষজ্ঞরা বলছেন, এখন যুগ ডেটা সায়েন্সের। বিশ্বের বড় বড় প্রতিষ্ঠান এখন অনেক বেশি তথ্য তৈরি করছে। প্রতিষ্ঠানগুলো চাইছে এসব তথ্য বিশ্লেষণ করে কাজে লাগাতে। ফলে দেশে ডেটা সায়েন্সে বিশেষজ্ঞ কর্মীর চাহিদা ব্যাপক আকারে বাড়ছে। কয়েক বছর ধরে চাকরির বাজারে সবচেয়ে বেশি আলোচিত শব্দ হয়ে উঠেছে ডেটা সায়েন্স। বিশ্বে ডাটা সায়েন্সের ফ্রিল্যান্স চাকরির বাজারও অনেক বড় হচ্ছে। <br>
আমাদের দেশেও ডেটা বিশেষজ্ঞদের চাহিদা রয়েছে। দেশের ব্যাংক খাত থেকে শুরু করে বিদ্যুৎ খাতের মতো প্রয়োজনীয় খাতে ডেটা-বিষয়ক অভিজ্ঞ ব্যক্তিদের চাহিদা রয়েছে। এর মধ্যে দেশে গড়ে উঠছে ডেটা অ্যানালিটিকিস নিয়ে কয়েকটি স্টার্টআপ।
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ডাটা সায়েন্সের এই কম্পিটিটিভ ওয়ার্ল্ডে আপনাকে একজন দক্ষ প্রফেশনাল হিসেবে তৈরি করতেই MEEK দেশসেরা ডাটা সায়েন্স প্র্যাক্টিশনার, ইন্ডাস্ট্রি লিডারদের সহায়তায় তৈরি করেছে Certificate Program in Data Science.
Data Analysis & Interpretation
Analyze real-world datasets and extract meaningful insights for informed decision-making.
Python Programming Skills
Master essential Python libraries, including NumPy, Pandas, and Matplotlib, for data analysis and visualization.
Machine Learning & Predictive Analytics
Understand machine learning algorithms and build models to identify patterns and predict outcomes.
Career & Industry Readiness
Develop practical project experience and prepare for opportunities in data analysis, data science, and machine learning.
Course Schedule
Orientation
25th October 2024 at 7PM
Class Starts
27th October 2024
Schedule
Sunday, Tuesday, Thursday 7PM to 9PM
Comprehensive Course Coverage
- Python Fundamentals and Basic Syntax
- Introduction to Python and its versions
- Python installation and code execution
- Variables, data types, and reserved words
- Naming conventions and scope of variables
- Input, output, and type conversion
- Operators, comments, and formatted strings
- Python Control Flow and Loops
- Arithmetic, comparison, and logical operators
- Conditional statements and nested conditions
- Assignment and ternary operators
- while and for loops
- break, continue, and nested loops
- Practical programs and problem-solving
- Python Data Structures and Functions
- Lists, tuples, sets, and dictionaries
- List methods, sorting, and matrix operations
- Set operations and dictionary manipulation
- Functions, parameters, and return values
- Lambda functions and argument handling
- Debugging and exception handling
- Object-Oriented Programming in Python
- Introduction to OOP, classes, and objects
- Constructors and methods
- Instance, class, and static variables
- Inheritance and its different types
- Method overriding and overloading concepts
- Encapsulation and polymorphism
- Data Analysis with NumPy
- NumPy introduction and installation
- Creating and manipulating arrays
- Array attributes and built-in methods
- Array indexing and slicing
- Broadcasting and Boolean masking
- Mathematical operations and universal functions
- Data Analysis with Pandas
- Pandas introduction and installation
- Series and DataFrame structures
- Data selection and indexing
- Handling missing data
- Data cleaning and transformation
- Merging, joining, grouping, and aggregation
- Practical Data Analysis Projects
- Understanding real-world datasets
- Customer purchase data analysis
- Chicago payroll data analysis
- Data cleaning and preparation
- Exploratory data analysis (EDA)
- Generating insights and summarizing findings
- Data Visualization with Matplotlib
- Introduction to data visualization
- Creating basic plots and charts
- Figures, axes, and multiple subplots
- Object-oriented plotting techniques
- Plot customization and annotations
- Saving and exporting visualizations
- Advanced Data Visualization
- Pandas built-in plotting
- Line, bar, and area charts
- Histograms and scatter plots
- Box plots and pie charts
- Hexbin and Kernel Density Estimation (KDE) plots
- Styling and visualizing analytical findings
- Introduction to Machine Learning
- Machine learning concepts and applications
- Supervised and unsupervised learning
- Machine learning models and workflows
- Training and testing datasets
- Underfitting and overfitting
- Model evaluation: confusion matrix, precision, recall, and F1-score
- Machine Learning Algorithms and Practical Implementation
- Linear Regression theory and implementation
- K-Nearest Neighbors (KNN)
- Decision Tree algorithms
- Support Vector Machines (SVM)
- K-Means clustering and the Elbow method
- Model training, evaluation, saving, and loading
- Capstone Project – Data Analysis and Machine Learning
- Selecting and understanding a real-world dataset
- Data cleaning and preprocessing
- Exploratory data analysis and visualization
- Feature selection and model development
- Applying suitable machine learning algorithms
- Evaluating results and presenting project findings
Meet Your Trainer
Md. Aksadur Rahman
Microsoft Certified Professional
Python - Book Author
- 19+ years experience in IT Industry
- Lecturer at a Private University in Bangladesh.
- Experience of Project Management, Business Analyst and Coding.
- Combined expertise in industry and classroom.
Expertise Areas:
- Business Analysis, Project Management, User Engagement, Service Operation
- Strategic Business Models
- C# .Net, SQL Server, Python, PHP, MySQL, HTML5
- Systems Management and IT Innovation
- Business Intelligence (BI) Tools
Course Fee & Payment Options
Secure and convenient payment methods available
Course Fee
BDT 6,000
Per Participant
- 30 Hours Live Training
- Course Materials Included
- Certificate of Completion
Payment Methods
Bank Transfer
Direct bank account transfer
Account Name: MEEK Technologies Ltd.
Account Number: 7022-0212000985
Bank: Trust Bank Ltd
Branch: Millennium Corporate Branch, Dhaka
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