Data Science Training in Pune
Our Training/Internship Process
Data Science - Syllabus, Fees & Duration
MODULE 1
- The Data Science Process
- Apply the CRISP-DM process to business applications
- Wrangle, explore, and analyze a dataset
- Apply machine learning for prediction
- Apply statistics for descriptive and inferential understanding
- Draw conclusions that motivate others to act on your results
MODULE 2
- Communicating with Stakeholders
- Implement best practices in sharing your code and written summaries
- Learn what makes a great data science blog
- Learn how to create your ideas with the data science community
MODULE 3
- Software Engineering Practices
- Write clean, modular, and well-documented code
- Refactor code for efficiency
- Create unit tests to test programs
- Write useful programs in multiple scripts
- Track actions and results of processes with logging
- Conduct and receive code reviews
MODULE 4
- Object Oriented Programming
- Understand when to use object oriented programming
- Build and use classes
- Understand magic methods
- Write programs that include multiple classes, and follow good code structure
- Learn how large, modular Python packages, such as pandas and scikit-learn, use object oriented programming
- Portfolio Exercise: Build your own Python package
MODULE 5
- Web Development
- Learn about the components of a web app
- Build a web application that uses Flask, Plotly, and the Bootstrap framework
- Portfolio Exercise: Build a data dashboard using a dataset of your choice and deploy it to a web application
MODULE 6
- ETL Pipelines
- Understand what ETL pipelines are
- Access and combine data from CSV, JSON, logs, APIs, and databases
- Standardize encodings and columns
- Normalize data and create dummy variables
- Handle outliers, missing values, and duplicated data
- Engineer new features by running calculations • Build a SQLite database to store cleaned data
MODULE 7
- Natural Language Processing
- Prepare text data for analysis with tokenization, lemmatization, and removing stop words
- Use scikit-learn to transform and vectorize text data
- Build features with bag of words and tf-idf
- Extract features with tools such as named entity recognition and part of speech tagging
- Build an NLP model to perform sentiment analysis
MODULE 8
- Machine Learning Pipelines
- Understand the advantages of using machine learning pipelines to streamline the data preparation and modeling process
- Chain data transformations and an estimator with scikit learns Pipeline
- Use feature unions to perform steps in parallel and create more complex workflows
- Grid search over pipeline to optimize parameters for entire workflow
- Complete a case study to build a full machine learning pipeline that prepares data and creates a model for a dataset
MODULE 9
- Experiment Design
- Understand how to set up an experiment, and the ideas associated with experiments vs. observational studies
- Defining control and test conditions
- Choosing control and testing groups
MODULE 10
- Statistical Concerns of Experimentation
- Applications of statistics in the real world
- Establishing key metrics
- SMART experiments: Specific, Measurable, Actionable, Realistic, Timely
MODULE 11
- A/B Testing
- How it works and its limitations
- Sources of Bias: Novelty and Recency Effects
- Multiple Comparison Techniques (FDR, Bonferroni, Tukey)
- Portfolio Exercise: Using a technical screener from Starbucks to analyze the results of an experiment and write up your findings
MODULE 12
- Introduction to Recommendation Engines
- Distinguish between common techniques for creating recommendation engines including knowledge based, content based, and collaborative filtering based methods.
- Implement each of these techniques in python.
- List business goals associated with recommendation engines, and be able to recognize which of these goals are most easily met with existing recommendation techniques.
MODULE 13
- Matrix Factorization for Recommendations
- Understand the pitfalls of traditional methods and pitfalls of measuring the influence of recommendation engines under traditional regression and classification techniques.
- Create recommendation engines using matrix factorization and FunkSVD
- Interpret the results of matrix factorization to better understand latent features of customer data
- Determine common pitfalls of recommendation engines like the cold start problem and difficulties associated with usual tactics for assessing the effectiveness of recommendation engines using usual techniques, and potential solutions.
This syllabus is not final and can be customized as per needs/updates
- Since 2001, Making IT Experts by Experts
- Duration: 90 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Batch Classes @ Low Fees
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
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Course Highlights
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Data Science Jobs in Pune
Enjoy the demandFind jobs related to Data Science in search engines (Google, Bing, Yahoo) and recruitment websites (monsterindia, placementindia, naukri, jobsNEAR.in, indeed.co.in, shine.com etc.) based in Pune, chennai and europe countries. You can find many jobs for freshers related to the job positions in Pune.
Data Science Internship/Course Details
The top Data Science course online for professionals who wish to expand their knowledge base and start a career in this industry is NESTSOFT in Pune. Data Science provides a diverse set of tools for analyzing data from a range of sources, including financial records, multimedia files, marketing forms, sensors, and text files. You may learn all of the skills and talents required to become a data scientist by enrolling in the top data science online courses in Pune.
. Create data strategies with the help of team members and leaders. To find trends and patterns, use algorithms and modules.
There are numerous reasons why you should take this course.
Creative thinking, problem-solving skills, curiosity, and a drive to learn about and investigate industry trends and development, as well as teamwork, are among the soft skills required by data scientists. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. You'll have a personal mentor who will keep track of your development. Meet a Few of our Industry Experts 🚀 Your Pathway to IT Career
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Success Stories
The enviable salary packages and track record of our previous students are the proof of our excellence. Please go through our students' reviews about our training methods and faculty and compare it to the recorded video classes that most of the other institutes offer. See for yourself how TechnoMaster is truly unique.
There are many institutes that are trained in Seo , but Nestsoft Technology is different as they and provide a professional environment. This experience enabled me to work at an experience level, get a position as a Seo and successfully launch my career.
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Studying with Nestsoft Technology is valuable and increases my knowledge in digital marketing and SEO. Nestsoft Technology offers its students a blend of theory and practical experience. The quality of training is exceptional.
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