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 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. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. Cleaning and validating data to ensure that it is accurate and consistent. Effectively analyze both organized and unstructured data Create strategies to address company issues. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. . 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.

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

Shashwat

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

Experience: Web development Html CSS Javascript Java Sql  more..

Damini

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

Experience: Experience: 1 year 10 month Skills: angular javascript html css Application for Angular JS  more..

sudip

Mobile: +91 91884 77559
Location: Assam, Online (Vancouver)
Qualification: BCA(COMPUTER HARDWARE NETWORKING)

Experience: Computer hardware networking Arround 12 years |   more..

VEENA

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

Experience: python ML R SQL EXCEL TABLEUA  more..

Piyush

Mobile: +91 89210 61945
Location: Delhi, Online (Vancouver)
Qualification: 10th pass

Experience: Good evening sir or mam This is piyush from navyug school Sarojini Nagar I have an experienced on canva graphic  more..

SUNNY

Mobile: +91 91884 77559
Location: Haldia, Online (Vancouver)
Qualification: Persuing Btech in Computer Science

Experience: I am a 3rd-year B Tech CSE student with a strong foundation in web development I have gained practical experience  more..

Vidyasree

Mobile: +91 91884 77559
Location: Trivandrum, Online (Vancouver)
Qualification: B.Tech in IT

Experience: Odoo Django python javascript jQuery Psql  more..

Raihana

Mobile: +91 91884 77559
Location: Kochi, Online (Vancouver)
Qualification: BCA

Experience:  Monitor security alerts and incidents  Analyze security events to identify potential threats and vulnerabilities  Assist in incident  more..

ArunKumar

Mobile: +91 89210 61945
Location: Coimbatore, Online (Vancouver)
Qualification: B.E-EEE

Experience: Client communication and Link Building Keyword Research  Communication  Campaign management  Content Development  SEO & SEM strategy  more..

Shincy

Mobile: +91 98474 90866
Location: Alappuzha, Online (Vancouver)
Qualification: Mca

Experience: I have completed my MCA graduation in 2020 i know the programming languages like php c c++ java and html  more..

Kanika

Mobile: +91 91884 77559
Location: Tirupur, Online (Vancouver)
Qualification: 3rd year BE.CS

Experience: HTML CSS JavaScript: Web development technologies for content design and interactivity Git: Version control for code management and collaboration Java:  more..

Merin

Mobile: +91 91884 77559
Location: Kochi, Online (Vancouver)
Qualification: Btech

Experience: Digital marketing and seo   more..

Sudhanshu

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

Experience: I am Sudhanshu Ranjan a Software Developer at Tech Martin Pvt Ltd with 2 months of internship experience I have  more..

Rohan

Mobile: +91 94975 90866
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..

Suryamol

Mobile: +91 91884 77559
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..

Chitransh

Mobile: +91 94975 90866
Location: Rajasthan, Online (Vancouver)
Qualification: MCA

Experience: I'm working so many android projects bill payment apps education fun-based application freelancing platform and many more   more..

Mohd

Mobile: +91 9895490866
Location: Madhya Pradesh, Online (Vancouver)
Qualification: MBA

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

Kajal

Mobile: +91 98474 90866
Location: Pune, Online (Vancouver)
Qualification: BE Computer

Experience: Search Engine Optimization Social media marketing Graphic design Website Developer   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