Data Science Training 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 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.

Download Syllabus - Data Science
This syllabus is not final and can be customized as per needs/updates
 
10000+
20+
50+
25+

Data Science Jobs in Al Ain

Enjoy the demand

Find 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 Al Ain, chennai and europe countries. You can find many jobs for freshers related to the job positions in Al Ain.

  • Data Scientist
  • Data Analyst
  • Data Engineer
  • Data Storyteller
  • Machine Learning Scientist
  • Machine Learning Engineer
  • Business Intelligence Developer
  • Database Administrator
  • ML Engineer
  • Computer Vision Engineer

Data Science Internship/Course Details

Data Science internship jobs in Al Ain
Data Science There are numerous reasons why you should take this course. 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. 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 top Data Science course online for professionals who wish to expand their knowledge base and start a career in this industry is NESTSOFT in Al Ain. Exercises, tasks, and projects that are completed in real-time 24 hours a day, 7 days a week, A large network of like-minded newbies, an industry-recognized intellipaat credential, and individualized employment support Several data scientist responsibilities are listed below. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. Identify and collect data from data sources. Experts provide immersive online instructor-led seminars. Cleaning and validating data to ensure that it is accurate and consistent.

Meet a Few of our Industry Experts 🚀 Your Pathway to IT Career

Darshana

Mobile: +91 8301010866
Location: Karur, Online (Al Ain)
Qualification: BE

Experience: Skills - Good Communication Have knowledge in Web development HTML CSS JS Experience - Have worked as a trainer in  more..

Mohd

Mobile: +91 94975 90866
Location: Madhya Pradesh, Online (Al Ain)
Qualification: MBA

Experience: Passionate Canva designer with a keen eye for aesthetics and a knack for translating concepts into visually appealing graphics Proven  more..

DOI

Mobile: +91 89210 61945
Location: Gujarat, Online (Al Ain)
Qualification: Btech

Experience: Java Android kotlin Rest-Api Third party libraries xml retrofit firebase flutter dart  more..

Rakshit

Mobile: +91 8301010866
Location: Hubli , Online (Al Ain)
Qualification: BCA

Experience: Skills: Html python java css aws practitioner   more..

khajarafi

Mobile: +91 8301010866
Location: ANDHRAPRADESH, Online (Al Ain)
Qualification: MCA

Experience: Hi This is khajarafi Shaik having 8+experience as a TechnicalTrainer I can able to deliver the training on Corejava Advjava  more..

Sanu

Mobile: +91 9895490866
Location: Kolkata, Online (Al Ain)
Qualification: Graduation On Going

Experience: I have 3+ years of experience in web design field In Web I Know Html CSS JavaScript jQuery Bootstrap Framework  more..

Abhinav

Mobile: +91 91884 77559
Location: Pathankot, Online (Al Ain)
Qualification: Btech

Experience: A backend developer with following tech stack 1 Java 2 SpringBoot 3 SQL 4 JavaScript DOM 5 HTML 6 CSS  more..

Pratika

Mobile: +91 91884 77559
Location: Mumbai, Online (Al Ain)
Qualification: Bachelor

Experience: SQL selenium web driver core Java manual testing api   more..

Arya

Mobile: +91 9895490866
Location: Kerala, Online (Al Ain)
Qualification: Msc Computer science specialization in Cyber security

Experience: Worked as VAPT intern in Techbyheart Pvt ltd and have done a project in web application penetration testing Discovered vulnerabilities  more..

Shanthini

Mobile: +91 8301010866
Location: Tamil Nadu, Online (Al Ain)
Qualification: 12th pass

Experience: canva web developer web designing full stack communication html css javascript advanced computer skills writing creative leadership Projects: Online Second  more..

vibha

Mobile: +91 8301010866
Location: Uttar Pradesh, Online (Al Ain)
Qualification: BCA

Experience: Wok as Odoo developer python SQL Linux  more..

Perazhagan

Mobile: +91 98474 90866
Location: Tamil Nadu, Online (Al Ain)
Qualification: Bsc plant biotechnology

Experience: Basic java Basic selenium Software testing Write test cases in manual and automation testing Defect track with using jira tool  more..

ABIN

Mobile: +91 94975 90866
Location: Idukki , Online (Al Ain)
Qualification: MCA

Experience: Java javascript html css bootstrap jQuery react js SQL mongo db photoshop python Attend web development training Attend react js  more..

Priti

Mobile: +91 91884 77559
Location: Maharashtra, Online (Al Ain)
Qualification: MCA

Experience: HTML CSS javascript php laravel MVC bootstrap mongodb MYSQL  more..

Aryam

Mobile: +91 89210 61945
Location: Himachal Pradesh, Online (Al Ain)
Qualification: Bachelor's of Technology

Experience: I'm a Computer Science enthusiast pursuing Bachelor of Technology at Jaypee University Of Information Technology Solan With a strong academic  more..

Chandrasekar

Mobile: +91 94975 90866
Location: Tamil Nadu, Online (Al Ain)
Qualification: BE Mechanical

Experience: I am Expertise in User Researches Wireframing App design Web design Empathetic   more..

bhaghya

Mobile: +91 98474 90866
Location: sulthan bathery, Online (Al Ain)
Qualification: msc computer science

Experience: skill in web designig wordpress knowledge in dream weaver ecplise experience of 3 months  more..

Dhiraj

Mobile: +91 91884 77559
Location: Punjab, Online (Al Ain)
Qualification: BCA

Experience: Wordpress PHP Html css Jquery Ajax Quick learning Strong Read and development frontend backend  more..

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.

Photos of Training / Internships

Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain
Internship/projects in al-ain

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer