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 Ang Mo Kio

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 Ang Mo Kio, chennai and europe countries. You can find many jobs for freshers related to the job positions in Ang Mo Kio.

  • 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 Ang Mo Kio
Data Science 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. You'll have a personal mentor who will keep track of your development. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. Identify and collect data from data sources. Create data strategies with the help of team members and leaders. 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. Cleaning and validating data to ensure that it is accurate and consistent. 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 Ang Mo Kio. There are numerous reasons why you should take this course.

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

Guna

Mobile: +91 89210 61945
Location: Tamil Nadu, Online (Ang Mo Kio)
Qualification: UG

Experience: "Passionate UI UX Designer with a strong foundation in design principles and a proven track record I successfully completed a  more..

Lekshmi

Mobile: +91 91884 77559
Location: Kochi, Online (Ang Mo Kio)
Qualification: B tech

Experience: Software testing in Selenium IDE JIRA MS SQL Server Apache JMeter Test NG Mevan Project Bitnami Redmine SDLC STLC Test  more..

Patrick

Mobile: +91 89210 61945
Location: Karnataka, Online (Ang Mo Kio)
Qualification: BTECH CST (AIML) 1st year

Experience: I am a hard working individual looking for a challenging position where I can showcase my skills and contribute to  more..

Deepak

Mobile: +91 8301010866
Location: Uttar Pradesh, Online (Ang Mo Kio)
Qualification: Btech

Experience: have Worked in Seek Solution LLP for 2022-2024 as a WordPress developer   more..

Muhammad

Mobile: +91 91884 77559
Location: Kerala, Online (Ang Mo Kio)
Qualification: BCA

Experience: Technical Skills are React js Node js MongoDB html css javascript and bootstrap Soft skills are problem solving team work  more..

Nancy

Mobile: +91 98474 90866
Location: Aluva, Kochi , Online (Ang Mo Kio)
Qualification: MCA

Experience: Expert in manual testing Mainly concerned on mobile application testing (Android and iOS) and web application &server testing   more..

Fahid

Mobile: +91 89210 61945
Location: Kochi, Online (Ang Mo Kio)
Qualification: Diploma

Experience: Strong analytical skills >Troubleshooting computer problems and solutions > Information security > Burp suite > Mobile Security Framework >Wireshark >  more..

Jasjit

Mobile: +91 9895490866
Location: Maharashtra, Online (Ang Mo Kio)
Qualification: B. E. Electrical

Experience: Product technical support experience of 8+ yrs for clients namely Dell HP Cisco(Linksys) Microsoft Have used fortinet firewall while working  more..

Aditya

Mobile: +91 89210 61945
Location: Maharashtra, Online (Ang Mo Kio)
Qualification: Bachelor of Engineering (Computer Science)

Experience: Programming Languages: c java python Html Css Javascript Libraries Frameworks: Django Django-Rest SpringBoot Angular Firebase Bootstrap Agile Tools Platforms: AWS  more..

Roshan

Mobile: +91 9895490866
Location: Nagpur, Maharashtra, Online (Ang Mo Kio)
Qualification: BE Computer Science And Engineering

Experience: Java Selenium Webdriver TestNg Bdd Cucumber Api testing and RestAssured MERN Stack Android Dev   more..

Anurag

Mobile: +91 9895490866
Location: Bihar, Online (Ang Mo Kio)
Qualification: b.tech (computer science )

Experience: css js html php react git   more..

guddu

Mobile: +91 91884 77559
Location: Uttar Pradesh, Online (Ang Mo Kio)
Qualification: B.tech CSE

Experience: Java kotlin dart flutter  more..

Divya

Mobile: +91 91884 77559
Location: Uttar Pradesh, Online (Ang Mo Kio)
Qualification: Btech cse

Experience: I had experience as a backend developer in nodejs expressjs javascript mongodb postgresql html css Working as a nodejs developer  more..

Liju

Mobile: +91 89210 61945
Location: Kerala, Online (Ang Mo Kio)
Qualification: Btech

Experience: 1year of experience in php codeignitier  more..

Sunitha

Mobile: +91 98474 90866
Location: Tamil Nadu, Online (Ang Mo Kio)
Qualification: M. E

Experience: I have two years of experience in web development My skills: Html Css javascript mysql flutterflow nodejs I have interest  more..

Nisha

Mobile: +91 98474 90866
Location: Gurugram , Online (Ang Mo Kio)
Qualification: B.tech

Experience: Certification in manual testing Certification in automation testing   more..

sureshkumar

Mobile: +91 91884 77559
Location: trichy, Online (Ang Mo Kio)
Qualification: M.Sc

Experience: html and css php sql javascript laravel macromedio dreamviwer  more..

sudha

Mobile: +91 98474 90866
Location: Tamil Nadu, Online (Ang Mo Kio)
Qualification: BCA

Experience: hi this is sudha i know and good knowledge in wordpress php seo google analytics google search console sem bootstrap  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 ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio
Internship/projects in ang-mo-kio

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer