Data Science Training/Internship
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)
- 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
Featured Courses
Data Science Jobs in Riffa
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 Riffa, chennai and europe countries. You can find many jobs for freshers related to the job positions in Riffa.
Data Science Internship/Course Details
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. 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 Riffa. 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.
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. You'll have a personal mentor who will keep track of your development.
There are numerous reasons why you should take this course. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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 Riffa. Identify and collect data from data sources. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science.
List of All Courses & Internship by TechnoMaster
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.
Hi, this is Abdul Rashad, I did PHP course at Nestsoft Technologies. I learned heaps from my trainer also I impressed with their teaching. They take categories with their time period comes. thank you so much.
Abdul RashadInfobhan Systems, Qatar
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Darsana SalamIwalkz Technologies
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.
Tiny CyrilDubai
The experience of Nestsoft Technologies as an SEO / Digital Marketing intern was excellent. The faculty was a great help to us. They were highly qualified and specialized in subjects. Thank you for your help !!!!
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Well python class, machine language etc
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Riya Sara RejyKent Constructions
We have achieved a very level of knowledge from here about python and Machine Language within a short period of time.This was very helpful for our future .
Fahiz MohamedDhanalakshmi Srinivasan Colleg
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ShihajDubai
Well python class, machine language etc
MOHAMMED RINSHAD KDhanalakshmi Srinivasan Colleg
Python ( ML&AI) The classes are good. The staff and teachers are very friendly. Overall was a good experience.
Krishnapriya venuDubai
Nestoft Technologies offered practical-based training on this SEO / Digital Marketing and Project Exposure. The training experience was very different and unique from any training organization. Thanks to Nestsoft Technology for all the support and concern.
Gemmy GeorgeSeasonz India Holidays
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Well experienced faculties. They explains very well. Very much recommend.
Fathima zehraGermany
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.
Summayya KAQatar
I am very happy that I have chosen Nestsoft Technologies for my PHP 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.
Archana AravindInfopark
Best internships on python, machine learning, django
Mohammad Faizal ADhanalakshmi Srinivasan Colleg
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.
Siddiq P.ABangalore
I just did ten day course here on python machine learning and it was a good experience for me. Communication quality was great.
Aswin Mohan
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