Last Updated on: 30th January 2024, 06:42 pm
Data Science is an interdisciplinary field that utilizes scientific methods, processes, algorithms, and systems to extract meaningful insights and knowledge from structured and unstructured data.
The Data Science roadmap covers foundational topics such as mathematics and programming, progresses through data cleaning, exploratory analysis, and machine learning, and delves into deep learning, model evaluation, and deployment while emphasizing the importance of domain knowledge, soft skills, and continual learning for a comprehensive skill set in the field.
1. Fundamentals
Mathematics
- Linear Algebra
- Calculus
- Probability and Statistics
Programming
- Python
- Basics
- Libraries
- R
Databases
- SQL
- NoSQL
- Excel #Excel
2. Data Cleaning and Preprocessing
Handling Data
- Missing data
- Outlier detection
- Feature scaling and normalization
- Encoding categorical data #DataPreprocessing
3. Exploratory Data Analysis
Data Visualization
- Matplotlib
- Seaborn
- Plotly
Descriptive Analysis
- Descriptive statistics
- Correlation analysis
Dimensionality Reduction
- Techniques #ExploratoryDataAnalysis
4. Machine Learning
Supervised Learning
- Regression
- Linear Regression
- Logistic Regression
- Classification
- Decision Trees
- Random Forest
- Support Vector Machines
- Ensemble methods #SupervisedLearning
Unsupervised Learning
- Clustering
- K-Means
- Hierarchical Clustering
- Association Rule Learning
- Dimensionality Reduction #UnsupervisedLearning
Reinforcement Learning #ReinforcementLearning
5. Deep Learning
Neural Networks
- Artificial Neural Networks
- Convolutional Neural Networks
- Recurrent Neural Networks
- Generative Adversarial Networks #DeepLearning
6. Model Evaluation and Tuning
Optimizing Models
- Cross-validation
- Grid Search
- XGBoost
- Handling imbalanced datasets #ModelTuning
7. Deploying Models
Model Deployment
- Pickle in Python
- ONNX
- TensorFlow Serving
- AWS SageMaker #ModelDeployment
8. Domain Knowledge
Industry Expertise
- Understanding business problems and requirements
- Translating business problems into data problems #DomainKnowledge
9. Soft Skills
Professional Skills
- Communication skills
- Presentation skills
- Teamwork #SoftSkills
10. Staying Updated
Continual Learning
- Reading research papers
- Participating in competitions
- Attending seminars and webinars #ContinualLearning
