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Data Science with Python Course in Mumbai
Data Science with Python Course in Mumbai
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Why enroll for Data Science with Python Certification Course in Mumbai?
Data Science with Python Certification Course Benefits in Mumbai
Data Science with Python training covers industry-relevant skills for the fast-growing worldwide job market. The worldwide datasphere is expected to reach 181 zettabytes by 2025, driving the need for Python experts. Data science jobs are predicted to grow by 35–36%, creating 21,000 new positions annually, making this training a gateway to high-value, future-proof careers.
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Why Data Science with Python Certification Course from edureka in Mumbai
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 Mumbai
Data Science with Python Tools Covered in Mumbai
Data Science with Python Course Syllabus in Mumbai
Curriculum Designed by Experts
Edureka's Data Science with Python Training in Mumbai will provide in-depth training in Python programming. We offer instructor-led, live training sessions that help you master the fundamentals of Python. In this Edureka's Data Science with Python training in Mumbai, you'll learn Python programming fundamentals, including Data Structures and Data Types and Lists of Tuples, Strings that are essential functions and operations GUIs for multi-threading and data manipulation, and Networking and Expressions Lambda expressions and more. In addition, during this Data Science Python course, you will gain a thorough understanding of Python concepts, such as modules and the OOPS Django framework Database programming, and connectivity to a range of data sources.
Introduction to Python for Data Science
10 Topics
Topics
- Python scripting
- Variables & types
- Conditions & loops
- Function basics
- Lambda usage
- Lists & tuples
- Dictionaries
- File reading
- Error handling
- Jupyter setup
![skill]( "Hands On Experience")
- Writing a “Hello World” script
- Manipulating lists and dictionaries
- Reading a CSV file
![skill]( "skill you will learn")
- Core Python programming
- Data science environment setup
Working with Python Programming
8 Topics
Topics
- Set operations
- List comprehensions
- Generator functions
- Using modules
- Regex patterns
- Special collections
- Map & filter
- Custom exceptions
![skill]( "Hands On Experience")
- Using regex for data cleaning
- Creating a generator
- Building a custom module
![skill]( "skill you will learn")
- Intermediate Python techniques
- Efficient code structures
Advanced Python Programming for Data Science
10 Topics
Topics
- OOP concepts
- Class inheritance
- Context managers
- Unit testing
- API requests
- Code profiling
- Logging basics
- JSON handling
- Project packaging
- Type hints
![skill]( "Hands On Experience")
- Building a preprocessing class
- Fetching API data
- Writing a unit test
![skill]( "skill you will learn")
- Advanced Python programming
- Modular code development
Data Analysis with NumPy and Pandas
10 Topics
Topics
- NumPy arrays
- Vector operations
- Math functions
- Series handling
- DataFrames
- Dataset merging
- Missing values
- Pivot tables
- Data summaries
- Memory tuning
![skill]( "Hands On Experience")
- NumPy array calculations
- Cleaning data with Pandas
- Creating a pivot table
![skill]( "skill you will learn")
- Data manipulation
- Basic statistical analysis
Data Visualization and Preprocessing Techniques
9 Topics
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
![skill]( "Hands On Experience")
- Creating Seaborn plots
- Scraping website data
- Normalizing a dataset
![skill]( "skill you will learn")
- Data visualization
- Data preprocessing
Statistical Methods for Data Science
10 Topics
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
![skill]( "Hands On Experience")
- Conducting a t-test
- Visualizing correlations
- Detecting outliers
![skill]( "skill you will learn")
- Statistical analysis
- Result interpretation
Fundamentals of Machine Learning
9 Topics
Topics
- CRISP-DM process
- ML categories
- Python for ML
- ML tools
- Data lifecycle
- Evaluation
- Feature basics
- AI ethics
- Industry insights
![skill]( "Hands On Experience")
- Setting up an ML project
- Exploring a dataset
![skill]( "skill you will learn")
- ML workflows
- Industry trends
Supervised Learning – Regression Analysis
10 Topics
Topics
- Linear regression
- Gradient descent
- Polynomial regression
- Ridge regression
- Error metrics
- R-squared
- Cross-validation
- Residual analysis
- Feature selection
- Overfitting mitigation
![skill]( "Hands On Experience")
- Building a linear regression model
- Evaluating with RMSE
![skill]( "skill you will learn")
- Regression modeling
- Model evaluation
Supervised Learning – Classification Fundamentals
10 Topics
Topics
- Logistic regression
- Binary labels
- Decision trees
- Confusion matrix
- Precision & recall
- ROC curve
- Overfitting
- Feature ranking
- Model validation
- Class imbalance
![skill]( "Hands On Experience")
- Logistic regression model
- Decision tree visualization
![skill]( "skill you will learn")
- Binary classification
- Evaluation metrics
Supervised Learning – Advanced Classification
11 Topics
Topics
- Random forests
- SVM
- XGBoost
- Grid search
- Random search
- SHAP values
- SMOTE
- Model stacking
- Association rules
- Recommendation engines
- Model evaluation
![skill]( "Hands On Experience")
- Random Forest model
- Using SHAP for insights
- Building Apriori rules
![skill]( "skill you will learn")
- Advanced classification
- Interpretability, recommendations
Unsupervised Learning and Clustering Techniques
9 Topics
Topics
- K-Means clusters
- Elbow method
- Hierarchical clustering
- DBSCAN logic
- PCA reduction
- Anomaly detection
- Silhouette score
- Segmentation use
- Cluster visuals
![skill]( "Hands On Experience")
- K-Means clustering
- Applying PCA
- Detecting anomalies
![skill]( "skill you will learn")
- Unsupervised learning
- Dimensionality reduction
AutoML and No-Code Data Science Solutions
7 Topics
Topics
- AutoML tools
- DataRobot
- KNIME workflows
- H2O.ai models
- Synthetic data
- Rapid prototyping
- AI fairness
![skill]( "Hands On Experience")
- DataRobot model building
- KNIME workflow creation
- Generating synthetic data
![skill]( "skill you will learn")
- AutoML prototyping
- No Code workflows
Reinforcement Learning Essentials (Self-paced)
10 Topics
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
![skill]( "Hands On Experience")
- Q-Learning in a game
- OpenAI Gym experiment
![skill]( "skill you will learn")
- RL algorithms
- Practical applications
Time Series Analysis and Forecasting Methods (Self-paced)
10 Topics
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
![skill]( "Hands On Experience")
- ARIMA model
- Prophet forecasting
- Visualizing trends
![skill]( "skill you will learn")
- Time series analysis
- Forecasting
Machine Learning on Cloud Platforms (Self-paced)
8 Topics
Topics
- Cloud ML Introduction
- AWS SageMaker
- Google Cloud AI
- Azure ML
- Cloud storage
- Serverless ML
- Model deployment
- Scalability
![skill]( "Hands On Experience")
- Training a model in SageMaker
- Deploying with Google Cloud AI
- Using S3 for data storage
![skill]( "skill you will learn")
- Cloud-based ML
- Scalable model deployment
MLOps Fundamentals (Self-paced)
7 Topics
Topics
- MLOps Introduction
- CI/CD for ML
- Flask API Deployment
- MLflow Model Tracking
- Docker Containerization
- Model Drift Monitoring
- Model Lifecycle Management
![skill]( "Hands On Experience")
- Deploying with Flask
- MLflow pipeline setup
![skill]( "skill you will learn")
- MLOps practices
Data Science with Python training in Mumbai description
Edureka offers complete Data Science with Python training in Mumbai to help you grasp the fundamental concepts such as writing sequences, scripts, and other processes that require files written in Python and gain knowledge of applications in practice. Data Science with Python training in Mumbai, coupled with live-time projects and hands-on tasks. Python is an open-source high-level programming language that can be utilized for a variety of tasks and web applications to address the automation of large-scale,data science and information analytics development. It's a powerful, versatile object-oriented language that can be used to interpret, object-oriented, or even interpreted. It's a language you'll master in the Data Science with Python course in Mumbai.
About Data Science with Python Certification Course in Mumbai
Edureka’s Data Science with Python Certification Training in Mumbai is designed to make you grasp the concepts of Data Science and Machine Learning. As a data scientist, you will learn the importance of machine learning and its implementation in the Python programming language. You will be able to automate real-life scenarios using machine learning algorithms, and towards the end of this course, we will be discussing various practical use cases of machine learning with the Python programming language to enhance your learning experience. Edureka offers the best Data Science with Python training online for those who want to be the best in Python. Enroll now in Edureka's online Data Science with Python Certification to get trained by industry experts.
What are the prerequisites for this Data Science with Python Course in Mumbai?
The prerequisites for Edureka's Python Data Science and ML course training in Mumbaig include a fundamental understanding of Computer Programming Languages.
What are the objectives of our Data Science with Python Course in Mumbai?
After completing this Data Science with Python Certification course in Mumbai, you will be able to:
- 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
Edureka offers the best online course for Python data science and ML. Enroll now in our Data Science with Python training and get a chance to learn from industry leaders.
Who should go for this Python Data Science and ML online course in Mumbai?
- 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
Why Learn Data Science using Python?
Python has been one of the premier, flexible, and powerful open-source languages that are easy to learn, easy to use, and powerful libraries for data manipulation and analysis. It has been used for over a decade in scientific computing and highly quantitative domains such as finance, oil and gas, physics, and signal processing. It continues to be a favorite option for data scientists who build and use machine learning applications and other scientific computations. Python cuts development time in half with its simple-to-read syntax and easy compilation feature. Debugging programs is a breeze in Python with its built-in debugger. It has evolved into the most preferred Language for Data Analytics. The increasing search trends also indicate that it is the Next Big Thing and a must for professionals in the data analytics domain.
Data Science with Python Course Projects in Mumbai
Domain: Retail
A big retail chain keeps track of what customers buy, how often they buy it, and their demographics, such as their age and where they live. The marketing team wants to put custom....Domain: BFSI
A regional bank sees that more and more clients are closing their accounts. The bank aims to guess which customers are most likely to depart based on things like their account ba....Domain: Real Estate
A real estate agency wishes to give people who are looking to buy a property realistic pricing projections. You need to make a regression model that can estimate house values bas....Domain: Aviation
An airline has to predict how many passengers it will have each month in order to make the best use of its flight schedules, crew assignments, and fuel planning. You need to use ....Domain: Finance
A credit card firm loses money because of fake transactions. They want a system that can find strange things in transaction data, including spending patterns that don't make sens....Domain: Manufacturing
A manufacturing plant uses heavy machinery that sometimes breaks down, which costs a lot of time and money. The plant wants to know when equipment is likely to break down by look....Domain: Finance
An investment company wants to use machine learning to guess the stock prices of a certain company so they can make better trading choices. You need to use past stock prices and ....Domain: Supply Chain/Retail
A retail company is having trouble keeping its inventory levels balanced, which means it either runs out of stock (losing revenues) or has too much stock (raising costs). You nee....Data Science with Python Certification in Mumbai
To unlock the Edureka’s Data Science with Python Training course completion certificate, you must ensure the following:
- Completely participate in this Edureka’s Data Science with Python Training Course.
- Evaluation and completion of the quizzes and projects listed.
Yes, Data Scientist is a good career option for those interested in working with data and extracting insights from it. With the explosive growth of data in recent years, the demand for skilled data scientists has increased significantly. As a Data Scientist, one can work in a variety of industries such as healthcare, finance, marketing, and more. The job typically requires a strong foundation in statistics, machine learning, and programming skills, as well as a good understanding of business and domain knowledge. Data Scientist is responsible for collecting, analyzing, and interpreting large and complex data sets to inform business decisions and strategies. Overall, data science is a challenging and rewarding career option with a promising outlook for the future.
Yes, Machine Learning Engineer is a good career option for those interested in working with machine learning algorithms and implementing them in real-world applications. Machine learning is a rapidly growing field with increasing demand for professionals who can build and deploy machine learning models to automate tasks and extract insights from large amounts of data. As a Machine Learning Engineer, one can work in a variety of industries such as healthcare, finance, e-commerce, and more. The job typically requires a strong foundation in machine learning, programming skills, and a good understanding of software engineering principles. Overall, machine learning engineering can be a challenging and rewarding career option with a promising outlook for the future.
To learn data science and machine learning as a beginner, one can start by learning Python programming and then move on to data analysis. After understanding data analysis, one can learn the basics of machine learning, and apply machine learning algorithms to real-world problems. Edureka’s Data Science with Python Certification Training provides a structured learning experience that helps beginners gain practical experience and develop the skills necessary to become proficient in data science and machine learning.
Data Science with Python Certification provides a strong foundation in data science, machine learning, and Python programming. This certification is valuable for several reasons:
- Demonstrates Mastery of Key Skills: Certification indicates that an individual has a strong understanding of data science concepts, machine learning techniques, and Python programming skills.
- Improves Job Prospects: Data science and machine learning are high-growth industries, and certification can improve job prospects by demonstrating expertise in these areas.
- Increases Earning Potential: Certified data scientists and machine learning engineers often earn higher salaries compared to their non-certified peers.
- Enhances Credibility: Certification is a recognized indicator of expertise and can enhance an individual's credibility in the field.
- Keeps Skills Up-to-Date: Data science and machine learning are constantly evolving fields, and certification requires individuals to stay up-to-date with the latest technologies and techniques.
- Enables Career Advancement: Certification can enable individuals to advance their careers by demonstrating mastery of key skills and increasing their value to their organization.
Data Science with Python Certification can open up various job roles in the field of data science and machine learning. Some of the common job roles available after completing this certification include:
- Data Analyst: A data analyst collects, analyzes, and interprets large datasets to help businesses make informed decisions.
- Machine Learning Engineer: A Machine Learning Engineer is responsible for designing, building, and deploying machine learning models that can automate certain tasks.
- Data Scientist: A Data Scientist is responsible for analyzing and interpreting complex data to extract insights and build predictive models.
- Business Intelligence Analyst: A Business Intelligence Analyst is responsible for analyzing data to provide insights that can help businesses make informed decisions.
- AI Architect: An AI Architect is responsible for designing and implementing AI systems, including machine learning algorithms and neural networks.
- Research Scientist: A Research Scientist is responsible for conducting research and experiments to develop new machine learning algorithms and techniques.
You do not need a coding background to enroll in this Data Science with Python course. The course begins with basic modules in which we cover the fundamentals of Python coding. In fact, you do not need prior knowledge in data science or machine learning either. All relevant topics are a part of this course from scratch.
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December 09, 2017
My experience with edureka about Python is much impressed, with such quality of the training. We get access to each day class recorded sessions after the live class. Edureka is very quick reactive towards the queries of each single user, they answer and follow-up to ensure you get the correct response to resolve your query. Online recording of the course is very useful as you can go back and refer at any time. You have access to course and materials for ever, which is really helpful. More over 24/7 quality support, which is very much important to any of us. I must thank to Edureka for giving such support. Thanks guys, cheerââ¬Â¦
December 09, 2017
I got full value from Edureka's DevOps course. I had to come out of my comfort zone as I was expecting a lot theory but this had continuous Lab/practice by the trainer in all trending tools - GIT, GitHub, Jenkins, Docker, Puppet & Nagios. Trainer was very knowledgeable and helpful. High technical content/slides. Timing was great due to promotion offer for free self-paced Chef & Ansible & Jenkins-indepth modules. Sometimes had to ask trainer to slow down and some install commands were failing at times but these were were minor as I learned how to handle such issues. Am now all set to work/manage with confidence in a DevOps environment. Edureka had also called me prior to the training to capture my needs.
December 09, 2017
Edureka has very good instructors and technical support team, I have completed the course BIG DATA & AWS through web training, and it was very good training, helped me to learn very swiftly. When I stuck up in installation and in writing map reduce programming technical support resolved very quickly and I was very happy with their response in time. As well as they providing life time access for our completed course videos so it will be useful in real time projects. I feel very happy to recommend Edureka for my friends on big data course.
December 09, 2017
I'm currently enrolled in a lot of courses offered at Edureka, so I'm attending live classes and using their study materials, course projects, have access to support staff and teachers. I can confidently say Edureka staff is very hard working and committed to help students which is reliable. Course instructors are experienced candidates from industry who know what they are teaching. Course materials are pretty comprehensive and students need to work very hard to finish course projects, pass the project interviews and gain certification. I say, it is worth it.
December 09, 2017
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Data Science with Python training in Mumbai FAQs
What is Python for Data Science in Mumbai?
Data is all around us, and data science will help extract the information. Data science has many applications, and python can be used to implement them. Python is a generic language that can be used to build websites, backend APIs, and scripting. Python's built-in libraries, frameworks, and tools can be used to perform various operations in data science.
Where Can I Learn Python for Data Science?
Although there are many free learning resources available, finding one that teaches data science very well is recommended. You should choose a platform that will teach you interactively and has a curriculum designed to help you along your data science journey. Edureka is one such platform as we offer the best online Data Science with Python course in Mumbai for data science that will take you from beginner to data analyst in Python or data scientist.
Who are the instructors for the Python Data Science Course in Mumbai?
All the instructors at edureka! are practitioners from the Industry with minimum 10-12 yrs of relevant IT experience. They are subject matter experts and are trained by edureka for providing an awesome learning experience to the participants of Python Data Science Training.
What is the Data Science with Python Course in Mumbai duration?
Data Science with Python Course in Mumbai can take between five and 10 weeks to learn basic Python programming concepts, including object-oriented programming and basic Python syntax. It is important to note that the time it takes for Python programming depends on your experience with web development, data science, and other related fields.
What skills should a Data Science Expert know?
A Data Science Expert should have a combination of technical and non-technical skills, including:
- 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 Mumbai?
Python is preferred by data scientists over other languages because it has powerful machine learning libraries that can be used to build any machine learning algorithm. This allows for a better understanding of the current performance without sacrificing existing performance. These powerful frameworks allow data scientists to create the right neural networks. Python is the foundation of Google, YouTube and Instagram. It allows for multiple tasks to be automated and the use of these applications in various languages. The code is simple and well-documented. Many organizations are still not adopting a data-centric approach. The market lacks data literacy. To fill this gap in supply, you will need to study data science and its underlying areas by taking python data science training.
Which kind of projects will be a part of this Data Science with Python Certification Course in Mumbai?
Project Title: Consumer Complaint Resolution
Problem Statement: Predicting which complaints have a higher potential to be disputed and identifying systematic issues can help enhance the quality of communication and satisfactory resolution.
What type of job can I get after completing a Data Science with Python course in Mumbai?
This is an industry where opportunities are plenty, so once you have the education and qualifications, the jobs are waiting for you. To name a few, some of the most common job titles for data scientists include:
- Business Intelligence Analyst
- Data Mining Engineer
- Data Architect
- Data Scientist
- Senior Data Scientist
Which companies will hire me once I become a Python for Data Science professional in Mumbai?
Data science has grown by a substantial extent today. Companies in almost every industry are trying to have a data science team to help them use their data for the company’s progress.
Here, we have compiled a list of reputed companies that are currently hiring data scientists.
1. Sigmoid
2. Mindtree
3. LinkedIn
4. Paypal
5. Oracle
6. TCS
7. ZIGRAM
What is the Average Salary of Data scientists in Mumbai?
The salary of a Data Scientist in Mumbai ranges between ₹ 4.0 Lakhs to ₹ 22.0 Lakhs with an average annual salary of ₹ 9.2 Lakhs
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