Class 01 | Orientation Class

Class 01 | Python Basics

Class 02 | Python Data Collection, If-else statement

Class 03 | Loops, Python Statement, Functions,Lambda,Python Math and More

Class 04 | Class, OOP, Exception, Some details of previous topics

Class 05 | Some details of previous topics, File Handling, Problem Solving

Class 06 | Problem Solving

Class 01 | Numpy

Class 02 | Pandas Sheet

Class 03 | Pandas Sheet, Practice with real world data

Class 04 | Problem Solving, Practice with real world dataset

Class 01 | Matplotlib Sheet

Class 02 | Seaborn Sheet, Applying modules to real world data

Class 03 | Data Analysis Practice

Class 01 | Environment for Power BI tools

Class 02 | explored the settings section to enable and disable features for upcoming classes

Class 03 | enable and disable specific features, data loading process, ETL (Extract, Transform, Load) workflow, data cleaning techniques

Class 04 | add a new data source, append simiar files, data modeling and creating relationships between tables, primary key and foreign key

Class 05 | insert images, KPI card visual design techniques, DAX , Problem Solving

Class 06 | Project, applied several DAX functions, advanced visualization tools to design a fantastic first-page executive dashboard

Class 07 | Product dashboard, Drillthrough to navigate, Tooltips, Map-based dashboard analysis

Class 08 | map visual dashboard, customer dashboard, AI visuals page to enhance data interpretation

Class 09 |

Class 10 |

Class 11 |

Class 01 | Descriptive & Inferential Statistics

Class 02 | Hypothesis Testing & Correlation

Class 1 | Machine Learning Algorithm

Class 2 | Machine Learning Algorithm

Class 3 | Supervised Learning: Model Building(Regression), Model Evaluation for regression

Class 4 | Supervised Learning: Model Building(Classification) , Model Evaluation for classification

Class 5 | Unsupervised Learning: Clustering (K-Means, K-Modes, Hierarchical)

Class 6 | Unsupervised Learning: PCA, Market Basket Analysis

Class 7 | Hyperparameter Tuning, overfitting check, Data distribution check, Implement hypothesis testing

Class 8 | Project Discussion

Class 01 | Preprocessing (Tokenization, Stopwords, Stemming, Lemmatization), Bag of Words, TF-IDF, Word2Vec

Class 02 | NLP Projects in English: Sentiment Analysis, Fake News Detection, Bullying Detection

Class 03 | NLP Projects in Bangla: Comment Classification, Article Classification

Class 01 | Intro to ANN, CNN, RNN + Use Cases in ML

Class 02 | TensorFlow & Keras Basics, ANN for Structured Data

Class 03 | CNN for Image Classification (CIFAR-10, Brain MRI)

Class 04 | CNN (Handwritten dataset, Customized dataset: Face Recognition), Fine-Tuning & Augmentation

Class 05 | RNN/LSTM for Text Generation, Sequence Modeling, NLP Deep Learning Project

Class 01 | Flask API, Streamlit UI, Model Deployment (ML & DL Projects)

Class 01 | Final Project Planning, Dataset Selection, Model Building

Class 02 | Final Presentation + Deployment Showcase