Data Science Training by Experts

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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- 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
Course Fees
10000+
20+
50+
25+

Data Science Jobs in Newcastle

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

  • 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 Newcastle
Data Science 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. Create data strategies with the help of team members and leaders. 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. You'll have a personal mentor who will keep track of your development. There are numerous reasons why you should take this course. To find trends and patterns, use algorithms and modules. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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.

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 Newcastle

  • NewcastleCollege-RyeHillCampus | Location details: Rye Hill Campus, Scotswood Rd, Newcastle upon Tyne NE4 7SA, United Kingdom | Classification: College, College | Visit Online: ncl-coll.ac.uk | Contact Number (Helpline): +44 191 200 4000
  • NewRIIS-NewcastleResearch&InnovationInstitute | Location details: 80 Jurong East Street 21, #05-04 Devan Nair Institute for Employment & Employability, Singapore 609607 | Classification: Research institute, Research institute | Visit Online: | Contact Number (Helpline): +65 6514 0568
  • NewcastleTrainingCenters | Location details: 11335 NE 122nd Way #105, Kirkland, WA 98034, United States | Classification: Emergency training school, Emergency training school | Visit Online: newcastletraining.com | Contact Number (Helpline): +1 425-488-3730
  • NewcastleAustraliaInstituteOfHigherEducation | Location details: 100 Victoria St, #13-01/02, Singapore 188064 | Classification: University, University | Visit Online: newcastle.edu.au | Contact Number (Helpline): +65 6221 3306
  • TeamMarvel | Location details: The Brewhouse, Dissington Hall, Dalton, Newcastle upon Tyne NE18 0AD, United Kingdom | Classification: Website designer, Website designer | Visit Online: teammarvel.co.uk | Contact Number (Helpline): +44 191 607 5855
  • Pegasus | Location details: 426 King St, Newcastle NSW 2300, Australia | Classification: Software company, Software company | Visit Online: pegasus.net.au | Contact Number (Helpline): +61 1300 441 433
  • SleekyWebDesign&PrintLtd | Location details: Central Lofts, 5 Waterloo St, Newcastle upon Tyne NE1 4DR, United Kingdom | Classification: Website designer, Website designer | Visit Online: sleeky.co.uk | Contact Number (Helpline): +44 191 649 8949
  • Wayfresh | Location details: Clavering House, Clavering Pl, Newcastle upon Tyne NE1 3NG, United Kingdom | Classification: Website designer, Website designer | Visit Online: wayfresh.co.uk | Contact Number (Helpline): +44 191 244 9976
  • UniversityOfNewcastle,SydneyCampus | Location details: 55 Elizabeth St, Sydney NSW 2000, Australia | Classification: University, University | Visit Online: newcastle.edu.au | Contact Number (Helpline): +61 2 8262 6400
  • IVvy | Location details: 1/2 Newcastle St, Burleigh Heads QLD 4220, Australia | Classification: Event technology service, Event technology service | Visit Online: ivvy.com | Contact Number (Helpline): +61 7 5636 3755
  • DMCConsultancy | Location details: Brownstown Road, Commons, Newcastle, Co. Dublin, D22 Y2F2, Ireland | Classification: Website designer, Website designer | Visit Online: dmcconsultancy.com | Contact Number (Helpline): +353 87 132 3956
  • NewRIIS-NewcastleResearch&InnovationInstitute | Location details: 80 Jurong East Street 21, #05-04 Devan Nair Institute for Employment & Employability, Singapore 609607 | Classification: Research institute, Research institute | Visit Online: | Contact Number (Helpline): +65 6514 0568
  • TheCRMTeam | Location details: 1 Tudor St, Newcastle West NSW 2302, Australia | Classification: Software training institute, Software training institute | Visit Online: crmteam.com.au | Contact Number (Helpline): +61 2 4086 7249
  • NewcastleUniversityBusinessSchool | Location details: 5 Barrack Rd, Newcastle upon Tyne NE1 4SE, United Kingdom | Classification: Business school, Business school | Visit Online: ncl.ac.uk | Contact Number (Helpline): +44 191 208 1500
  • TheCRMTeam | Location details: 1 Tudor St, Newcastle West NSW 2302, Australia | Classification: Software training institute, Software training institute | Visit Online: crmteam.com.au | Contact Number (Helpline): +61 2 4086 7249
  • UniversityOfNewcastle | Location details: University Dr, Callaghan NSW 2308, Australia | Classification: University, University | Visit Online: newcastle.edu.au | Contact Number (Helpline): +61 2 4921 5000
 courses in Newcastle
2 Department of Home Affairs. Their strong experience and collaboration provide exciting real learning opportunities for our students. To encourage living and working in regional areas, students can stay for up to two years when completing their studies at our Sydney campus, up to four years at our Newcastle campus, or up to four or years. Here you can grow. In fact, we are ranked #1 in Australia at for industry collaboration. You can defend the rights of refugees in or realize your startup dream. 3 percent of our graduate students are employed within four months of graduation. 6 Data warehouse 2021. Experience more career opportunities and earn a higher salary More than 89 percent of our undergraduate students and 93. That's why we connect you with industry to provide hands-on experience across all our degrees.

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