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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.

Download Syllabus - Data Science
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Data Science Jobs in Barrie

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

  • 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 Barrie
Data Science This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. 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 Barrie. Identify and collect data from data sources. Create data strategies with the help of team members and leaders. 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. 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. Experts provide immersive online instructor-led seminars.

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.

List of Training Institutes / Companies in Barrie

  • GeorgianCollege | Location details: 1 Georgian Dr, Barrie, ON L4M 3X9 | Classification: College, College | Visit Online: georgiancollege.ca | Contact Number (Helpline): (705) 728-1968
  • IdeaStore | Location details: BARRIER CHOWK VILLAGE CHAMPA TEHSIL CHAMPA DISTRICT JANJGIR CHAMPA 495671 MP, Champa, Chhattisgarh 495671, India | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: ideacellular.com | Contact Number (Helpline):
  • CTCComputerTraining | Location details: 230, 400 Bayfield St, Barrie, ON L4M 5A1 | Classification: Software training institute, Software training institute | Visit Online: ctccomputertraining.com | Contact Number (Helpline): (705) 728-5761
  • TAFEQueensland,GreatBarrierReefInternationalMarineCollege | Location details: 55/61 Tingira St, Portsmith QLD 4870, Australia | Classification: Vocational college, Vocational college | Visit Online: tafeqld.edu.au | Contact Number (Helpline): +61 1300 308 233
  • CTCComputerTraining | Location details: 230, 400 Bayfield St, Barrie, ON L4M 5A1 | Classification: Software training institute, Software training institute | Visit Online: ctccomputertraining.com | Contact Number (Helpline): (705) 728-5761
  • AlliedEnterprises-TimeAttendanceSystemQatar|ZKTecoQatar|GateBarrierSystemSupplier | Location details: Retaj Building, Rawdat Al-Khail Street الطريق الدائري الثاني 204، Doha, Qatar | Classification: Security system supplier, Security system supplier | Visit Online: alliedeprs.com | Contact Number (Helpline): +974 4471 8845
 courses in Barrie
The Next Wave Community Improvement Plan objectives to growth business, residential, and cultural range in the downtown through offering monetary incentives together with tax presents and constructing recuperation loans to lure builders to make investments withinside the vicinity. (StatisticThe Growth Plan for the Greater Golden Horseshoe (2006), element of Ontario's Places to Grow Act (2005), has had a giant effect on Barrie's boom. 2 The studies crew is indebted to the numerous network citizens and specialists who took time from their busy schedules to speak with us. Barrie`s mission is a way to hold growing a mid-length metropolis with all of the consequent implications, where boom now and again exceeds the cappotential to offer infrastructure and public services, together with training and fitness care. ca/html/suburbs_project/suburbs_index. While the Places to Grow Act surely affected improvement trends, the City of Barrie Official Plan (2011) is the municipality's main making plans document. The document summarizes ancient trends, census information accumulated from Statistics Canada, making plans documents, and statistics accumulated from interviews carried out in Barrie, Ontario, in 2010. Growth has leapfrogged over the greenbelt which surrounds the Greater Toronto Area to independent municipalities together with Barrie. The Lake Simcoe Protection Plan (2009), protected in Barrie's Official Plan, objectives to guard the flowers and flora and fauna in and across the lake through creating improvement buffers and limiting new. The maximum latest enlargement concerned the annexation of about 5,seven hundred acres of land from the neighbouring Town of Innisfil in 2010.

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