Data Science with Python Training in Kolkata






Instructor-led Mastering Python live online Training Schedule
Flexible batches for you
Why enroll for Data Science with Python Certification Course in Kolkata?



Data Science with Python Certification Course Benefits in Kolkata




Why Data Science with Python Certification Course from edureka in Kolkata
Live Interactive Learning
- World-Class Instructors
- Expert-Led Mentoring Sessions
- Instant doubt clearing
Hands-On Project Based Learning
- Industry-Relevant Projects
- Course Demo Dataset & Files
- Quizzes & Assignments
Industry Recognised Certification
- Edureka Training Certificate
- Graded Performance Certificate
- Certificate of Completion
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About your Data Science with Python Certification Course
Data Science with Python Skills Covered in Kolkata
Python Programming Statistical Analysis Data Analysis and Visualization Machine Learning No Code Data Science Machine Learning on Cloud
Data Science with Python Tools Covered in Kolkata
Data Science with Python Course Syllabus in Kolkata
Curriculum Designed by Experts
Introduction to Python for Data Science
Topics
- Python scripting
- Variables & types
- Conditions & loops
- Function basics
- Lambda usage
- Lists & tuples
- Dictionaries
- File reading
- Error handling
- Jupyter setup
![Hands On Experience skill]()
Hands-on
- Writing a “Hello World” script
- Manipulating lists and dictionaries
- Reading a CSV file
![skill you will learn skill]()
Skills
- Core Python programming
- Data science environment setup
Working with Python Programming
Topics
- Set operations
- List comprehensions
- Generator functions
- Using modules
- Regex patterns
- Special collections
- Map & filter
- Custom exceptions
![Hands On Experience skill]()
Hands-on
- Using regex for data cleaning
- Creating a generator
- Building a custom module
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Skills
- Intermediate Python techniques
- Efficient code structures
Advanced Python Programming for Data Science
Topics
- OOP concepts
- Class inheritance
- Context managers
- Unit testing
- API requests
- Code profiling
- Logging basics
- JSON handling
- Project packaging
- Type hints
![Hands On Experience skill]()
Hands-on
- Building a preprocessing class
- Fetching API data
- Writing a unit test
![skill you will learn skill]()
Skills
- Advanced Python programming
- Modular code development
Data Analysis with NumPy and Pandas
Topics
- NumPy arrays
- Vector operations
- Math functions
- Series handling
- DataFrames
- Dataset merging
- Missing values
- Pivot tables
- Data summaries
- Memory tuning
![Hands On Experience skill]()
Hands-on
- NumPy array calculations
- Cleaning data with Pandas
- Creating a pivot table
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Skills
- Data manipulation
- Basic statistical analysis
Data Visualization and Preprocessing Techniques
Topics
- Matplotlib Plotting
- Seaborn Visualization Styles
- Line and Bar Charts
- Histogram Analysis
- Web Scraping Basics
- Missing Data Treatment
- Feature Scaling Techniques
- Encoding Categorical Data
- Data Storytelling Approaches
![Hands On Experience skill]()
Hands-on
- Creating Seaborn plots
- Scraping website data
- Normalizing a dataset
![skill you will learn skill]()
Skills
- Data visualization
- Data preprocessing
Statistical Methods for Data Science
Topics
- Descriptive stats
- Variance, standard deviation
- Probability
- Normal distribution
- Hypothesis testing: t-tests
- Correlation: Pearson coefficient
- Outlier detection: z-score
- Sampling: random sampling
- Statistical visualization
- P-values: significance
![Hands On Experience skill]()
Hands-on
- Conducting a t-test
- Visualizing correlations
- Detecting outliers
![skill you will learn skill]()
Skills
- Statistical analysis
- Result interpretation
Fundamentals of Machine Learning
Topics
- CRISP-DM process
- ML categories
- Python for ML
- ML tools
- Data lifecycle
- Evaluation
- Feature basics
- AI ethics
- Industry insights
![Hands On Experience skill]()
Hands-on
- Setting up an ML project
- Exploring a dataset
![skill you will learn skill]()
Skills
- ML workflows
- Industry trends
Supervised Learning – Regression Analysis
Topics
- Linear regression
- Gradient descent
- Polynomial regression
- Ridge regression
- Error metrics
- R-squared
- Cross-validation
- Residual analysis
- Feature selection
- Overfitting mitigation
![Hands On Experience skill]()
Hands-on
- Building a linear regression model
- Evaluating with RMSE
![skill you will learn skill]()
Skills
- Regression modeling
- Model evaluation
Supervised Learning – Classification Fundamentals
Topics
- Logistic regression
- Binary labels
- Decision trees
- Confusion matrix
- Precision & recall
- ROC curve
- Overfitting
- Feature ranking
- Model validation
- Class imbalance
![Hands On Experience skill]()
Hands-on
- Logistic regression model
- Decision tree visualization
![skill you will learn skill]()
Skills
- Binary classification
- Evaluation metrics
Supervised Learning – Advanced Classification
Topics
- Random forests
- SVM
- XGBoost
- Grid search
- Random search
- SHAP values
- SMOTE
- Model stacking
- Association rules
- Recommendation engines
- Model evaluation
![Hands On Experience skill]()
Hands-on
- Random Forest model
- Using SHAP for insights
- Building Apriori rules
![skill you will learn skill]()
Skills
- Advanced classification
- Interpretability, recommendations
Unsupervised Learning and Clustering Techniques
Topics
- K-Means clusters
- Elbow method
- Hierarchical clustering
- DBSCAN logic
- PCA reduction
- Anomaly detection
- Silhouette score
- Segmentation use
- Cluster visuals
![Hands On Experience skill]()
Hands-on
- K-Means clustering
- Applying PCA
- Detecting anomalies
![skill you will learn skill]()
Skills
- Unsupervised learning
- Dimensionality reduction
AutoML and No-Code Data Science Solutions
Topics
- AutoML tools
- DataRobot
- KNIME workflows
- H2O.ai models
- Synthetic data
- Rapid prototyping
- AI fairness
![Hands On Experience skill]()
Hands-on
- DataRobot model building
- KNIME workflow creation
- Generating synthetic data
![skill you will learn skill]()
Skills
- AutoML prototyping
- No Code workflows
Reinforcement Learning Essentials (Self-paced)
Topics
- Agent-Environment Interaction
- OpenAI Gym Setup
- Markov Decision Process
- Q-Learning Fundamentals
- Exploration-Exploitation Tradeoff
- Epsilon-Greedy Strategy
- Reward Shaping Concepts
- Reinforcement Learning Applications
- Q-Table Implementation
- Reinforcement Learning Limitations
![Hands On Experience skill]()
Hands-on
- Q-Learning in a game
- OpenAI Gym experiment
![skill you will learn skill]()
Skills
- RL algorithms
- Practical applications
Time Series Analysis and Forecasting Methods (Self-paced)
Topics
- Time Series Components
- Stationarity Testing (ADF)
- ARIMA Model Parameters
- Forecasting with Prophet
- Forecast Error Metrics
- Backtesting Techniques
- Trend Visualization Methods
- Confidence Interval Analysis
- External Variable Integration
- Model Selection Strategies
![Hands On Experience skill]()
Hands-on
- ARIMA model
- Prophet forecasting
- Visualizing trends
![skill you will learn skill]()
Skills
- Time series analysis
- Forecasting
Machine Learning on Cloud Platforms (Self-paced)
Topics
- Cloud ML Introduction
- AWS SageMaker
- Google Cloud AI
- Azure ML
- Cloud storage
- Serverless ML
- Model deployment
- Scalability
![Hands On Experience skill]()
Hands-on
- Training a model in SageMaker
- Deploying with Google Cloud AI
- Using S3 for data storage
![skill you will learn skill]()
Skills
- Cloud-based ML
- Scalable model deployment
MLOps Fundamentals (Self-paced)
Topics
- MLOps Introduction
- CI/CD for ML
- Flask API Deployment
- MLflow Model Tracking
- Docker Containerization
- Model Drift Monitoring
- Model Lifecycle Management
![Hands On Experience skill]()
Hands-on
- Deploying with Flask
- MLflow pipeline setup
![skill you will learn skill]()
Skills
- MLOps practices
Data Science with Python training in Kolkata description
About Data Science with Python Certification Course in Kolkata
Why Learn Data Science using Python?
What are the objectives of our Data Science with Python Training in Chennai?
- Programmatically download and analyze data
- Learn techniques to deal with different types of data – ordinal, categorical, encoding
- Learn data visualization
- Using python notebooks, master the art of presenting step-by-step data analysis
- Gain insight into the 'Roles' played by a Machine Learning Engineer
- Describe Machine Learning
- Work with real-time data
- Learn tools and techniques for predictive modeling
- Discuss Machine Learning algorithms and their implementation
- Validate Machine Learning algorithms
- Explain Time Series and its related concepts
- Perform Text Mining and Sentiment analysis
Who should go for this Python Data Science and ML online course in Chennai?
- Freshers, Programmers, Developers, Technical Leads, Architects
- Developers aspiring to be a ‘Machine Learning Engineer'
- Analytics Managers who are leading a team of analysts
- Business Analysts who want to understand Machine Learning (ML) Techniques
- Information Architects who want to gain expertise in Predictive Analytics
- Professionals who want to design automatic predictive models
What are the prerequisites for this Data Science with Python Training in Chennai?
How will I execute the practicals in this online Data Science with Python course in Chennai?
Data Science with Python Course Projects in Kolkata
Data Science with Python Certification in Kolkata
First of its kind government and industry partnership to drive a national skilling ecosystem for digital technologies.
End-to-end skilling from assessment to certification.
Affordable, credible content handpicked by industry leaders.
Speed up learning with bite-sized course modules.
Certifications recognized by the industry.
GoI Incentive can be claimed by all Indian Nationals above 18 years of age. The current programme covers beneficiaries divided into the following broad categories:
IT employees in IT Firms and Non-IT firms
Non-IT employees aspiring to use new and emerging technologies in their respective domains
Employees whose skills for a particular job have become outdated.
Central Govt. & State Govt. Employees including employees of PSUs & Autonomous bodies (Govt. Employees)
Fresh Recruits who are yet to take up a job, as well as undergoing/selected for internship & Apprenticeship roles in IT/ ITeS
Mapping Your journey in 8 steps:
Enrolment in the Edureka portal
Successful completion of course modules
Quizzes, assignments, and certificate project submission
Assignment and project evaluation by Edureka
Joint co-branded certificate of participation from NASSCOM and Edureka
Sign up on the FutureSkills Prime platform for mandatory FutureSkills Prime assessment
SSC Certificate issuance by Futureskills Prime on successful completion
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Data Science with Python training in Kolkata FAQs
What is Python for Data Science?
Why should I learn Data Science with Python Course in Chennai?
Where Can I Learn Python for Data Science?
Can I learn a Python for Data Science online in Kolkata?
Who are the instructors for the Python Data Science Course in Kolkata?
What is the Data Science with Python Course in Kolkata duration?
How will I execute practical’s in Edureka's Data Science with Python Certification Course in Kolkata?
What if I have more queries with regards to Data Science using Python course in Kolkata?
What does a Data Science Expert do?
What is CloudLab?
What skills should a Data Science Expert know?
- Strong programming skills in languages like Python, R, and SQL.
- Proficiency in statistical analysis, machine learning, and data visualization techniques.
- Knowledge of data structures, algorithms, and database systems.
- Strong problem-solving skills and ability to work with large and complex datasets.
- Understanding of business processes and ability to communicate effectively with stakeholders.
- Knowledge of software engineering principles for building scalable and maintainable data pipelines.
- Continual learning mindset to keep up with the latest trends and technologies in the field.
Why is it essential to learn Data Science with Python course in Kolkata?
Which kind of projects will be a part of this Data Science with Python Certification Course in Kolkata?
Does Edureka provide any free learning resource for Data Science with Python course in Kolkata?
What if I miss a Data Science with Python Course in Kolkata class?
- View the recorded session of the class available in your LMS.
- You can attend the missed session in any other live batch.
What type of job can I get after completing a Data Science with Python course in Kolkata?
- Business Intelligence Analyst
- Data Mining Engineer
- Data Architect
- Data Scientist
- Senior Data Scientist


