Data Science Online Live Classes by Experts
Our Training 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- learn’s 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.
- Since 2001, Making IT Experts by Experts
- Duration: 90 Hours (Vary as per your skill)
- Course Fees
- Individual Live Classes (1:1)
- Training on Your Time, Any Where
- Access to Recorded Videos
- Practical Internship on Projects
- 100% Placement Support by our jobsNEAR.in
- Training/Internship Certificate
- Web Development Courses in Ahmedabad
- Mobile App Develpment Courses in Ahmedabad
- Website Design Courses in Ahmedabad
- Networking and Security Courses in Ahmedabad
- Digital Marketing (SEO) Courses in Ahmedabad
- Graphics Training Courses in Ahmedabad
- Cloud Computing Courses in Ahmedabad
- Mean Stack Development Courses in Ahmedabad
- Python Full Packages Courses in Ahmedabad
- Animation & Video Editing Courses in Ahmedabad
- Mern Stack Development Courses in Ahmedabad
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Data Science Jobs in Ahmedabad
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 Ahmedabad, chennai and europe countries. You can find many jobs for freshers related to the job positions in Ahmedabad.
Data Science Internship/Course Details
. Identify and collect data from data sources. Experts provide immersive online instructor-led seminars. 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 Ahmedabad.
There are numerous reasons why you should take this course. A Data Scientist is a highly skilled someone with advanced mathematical, statistical, scientific, analytical, and technical abilities who can prepare, clean, and validate organized and unstructured data for industries to utilize in making better decisions. You'll have a personal mentor who will keep track of your development. 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 Ahmedabad. To find trends and patterns, use algorithms and modules.
The Data Science Process, Communicating with Stakeholders, Software Engineering Practices, Object-Oriented Programming, Web Development, ETL Pipelines, Natural Language Processing, Machine Learning Pipelines, Experiment Design, Statistical Concerns of Experimentation, A/B Testing, and Introduction to Recommendation Engines are some of the topics covered in.
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.
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Well experienced faculties. They explains very well. Very much recommend.
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I am very happy that I have chosen Nestsoft Technologies for my SEO/digital marketing training. It is a good experience to feel like being in an IT company while getting training. Thanks to Nestsoft Technologies and all its faculties for all the efforts.
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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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Hii.My self Siddiq P.A, I have done Seo/Digital Marketing Training in Nestsoft Technologies. it absolutely was an awesome expertise for me. because my trainer gave full support for me and that they gave the explanation for all my doubts patiently. i would like to thank my trainer and also thanks Nestsoft Technologies.
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Nishna KVDubai
Best internships on python, machine learning, django
Mohammad Faizal ADhanalakshmi Srinivasan Colleg
I had a best knowledge in Python Machine Learning and best internship with them, these guys are providing best classes with a minimum time.
Milan MohanJCT College Of Engineering And
I am very relieved at the experience of learning at Nestsoft Technologies, which has helped me to bring my skills up and give me a better path, and I am very satisfied with the faculty that lead me to complete the course. Thanks to Nestoft
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