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 Vancouver

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

  • 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 Vancouver
Data Science You'll have a personal mentor who will keep track of your development. 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. Today's Data Scientists must possess a wide range of abilities, including the ability to work with large amounts of data, parse that data, and translate it into an easily comprehensible format from which business insights may be drawn. 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. Create data strategies with the help of team members and leaders. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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 Vancouver. 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. 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 Vancouver. There are numerous reasons why you should take this course.

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

Renu

Mobile: +91 91884 77559
Location: Maharashtra, Online (Vancouver)
Qualification: Masters

Experience: I am currently pursuing a Master of Science in Computer Science at Liverpool John Moores University specializing in software development  more..

sravan

Mobile: +91 94975 90866
Location: Telangana, Online (Vancouver)
Qualification: mtech cse

Experience: laravel developer with 3years expe |   more..

Suryamol

Mobile: +91 8301010866
Location: Muvattupuzha, Online (Vancouver)
Qualification: Btech

Experience: Hi myself suryamol m s currently working as a php developer l have good knowledge in HTML CSS bootstrap jQuery  more..

Sameer

Mobile: +91 98474 90866
Location: Delhi, Online (Vancouver)
Qualification: Currently pursuing my Bachelors

Experience: I have a certificate from cisco networking academy you can check it on my linkedin |   more..

saravanakumar

Mobile: +91 9895490866
Location: chennai, Online (Vancouver)
Qualification: BE cse

Experience: php jQuery laravel html css  more..

Shivam

Mobile: +91 89210 61945
Location: Himachal Pradesh, Online (Vancouver)
Qualification: B.Tech

Experience: I am skills in UXUI Design I am well versed with latest design process and design software tools such as  more..

Rohan

Mobile: +91 9895490866
Location: Pune, Online (Vancouver)
Qualification: Bca

Experience: I worked on node js angular js javascript mongo dB server also completed core java html css webtect certification from  more..

Ajay

Mobile: +91 98474 90866
Location: Thrissur, Online (Vancouver)
Qualification: Btech

Experience: I have 3 months of Experience as Full stack web developer using Nodejs Mongodb HTML CSS Bootstrap J avascript Reactjs  more..

Sreejith.

Mobile: +91 94975 90866
Location: Palakkad , Online (Vancouver)
Qualification: BTech ECE

Experience: Java manual testing SQL javascript html css  more..

Megha

Mobile: +91 94975 90866
Location: Uttarakhand, Online (Vancouver)
Qualification: BCA

Experience: Microsoft azure900 citrix putty linux python  more..

Mrunal

Mobile: +91 8301010866
Location: Maharashtra, Online (Vancouver)
Qualification: BEIT

Experience: 4+ years of experience in Android application development Design and develop android applications as per the business requirements Also worked  more..

Banoth

Mobile: +91 9895490866
Location: Telangana, Online (Vancouver)
Qualification: B. Tech (ECE)

Experience: Programming :-c c++HTML python word MSexcel Operating system:-Windows Ubuntu Linus   more..

Neenu

Mobile: +91 89210 61945
Location: North paravur, Online (Vancouver)
Qualification: Btech

Experience: I am an experienced php programmer  more..

Surya

Mobile: +91 91884 77559
Location: Amalapuram, Online (Vancouver)
Qualification: B-Tech

Experience: Web development Python Java  more..

Abhay

Mobile: +91 91884 77559
Location: Uttar Pradesh, Online (Vancouver)
Qualification: B.Tech. in EC

Experience: Android Kotlin Java 10 years of experience in Android App development  more..

Deepraj

Mobile: +91 94975 90866
Location: West Bengal, Online (Vancouver)
Qualification: Bachelor in Technology

Experience: I have a experience of two + years and have worked on versatile android projects with core concepts involving background  more..

Pravat

Mobile: +91 98474 90866
Location: Banglore , Online (Vancouver)
Qualification: Btech

Experience: 2+ of experience in website designing Using HTML5 CSS3 Bootstrap 5 JavaScript wordpress React MySQL   more..

Dasari

Mobile: +91 91884 77559
Location: Telangana, Online (Vancouver)
Qualification: B.tech

Experience: I have good programming and technical skills and as well as certification in mern stack development   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 vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver
Internship/projects in vancouver

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer