Data Science Training by Experts

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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
Course Fees
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Data Science Jobs in Cairns

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

  • 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 Cairns
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. You'll have a personal mentor who will keep track of your development. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. 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. There are numerous reasons why you should take this course. Cleaning and validating data to ensure that it is accurate and consistent. 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. Identify and collect data from data sources. To find trends and patterns, use algorithms and modules. Effectively analyze both organized and unstructured data Create strategies to address company issues.

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 Cairns

  • CelticTraining-CairnsCity-LeisureAndHealthcareCourses | Location details: 2B Second Floor, Orchid Plaza, 58 Lake St, Cairns City QLD 4870, Australia | Classification: Educational institution, Educational institution | Visit Online: celtictraining.com.au | Contact Number (Helpline): +61 1800 123 584
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  • JCU:JamesCookUniversity,Australia,Bada-jaliCampus,CairnsCity | Location details: 36 Shields St, Cairns City QLD 4870, Australia | Classification: University, University | Visit Online: jcu.edu.au | Contact Number (Helpline): +61 7 4232 2300
  • EIMTraining | Location details: Level 2/67 Lake St, Cairns City QLD 4870, Australia | Classification: Training centre, Training centre | Visit Online: eim.edu.au | Contact Number (Helpline): +61 7 5575 7575
  • StudyCairns | Location details: 93/105 Lake St, Cairns City QLD 4870, Australia | Classification: Marketing agency, Marketing agency | Visit Online: studycairns.com.au | Contact Number (Helpline): +61 7 4080 2902
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  • Pro-LiftTrainingFNQ | Location details: 39 Moffat St, Cairns North QLD 4870, Australia | Classification: Training centre, Training centre | Visit Online: prolifttrainingfnq.com.au | Contact Number (Helpline): +61 7 4214 0129
 courses in Cairns
The climatic conditions in the Cairns area were found to be ideal for growing sugar cane at degrees and this led to the establishment of the sugar industry. The second largest provincial town in District , is Gordonvale, which was a fully planned colonial administration of , before settlement. Natural resources such as gold and tin and natural resources such as timber have historically played an important role in the development of the region as they provided the impetus for the establishment of Cairns Harbour. These communities have made a lasting contribution to Cairns, once home to Queensland's second largest Chinatown. . As the region became more accessible, Cairns' inland natural landscape attracted attention as an Area of ​​Natural Beauty. Both the Running Line, originally built to transport mining products and timber to Cairns Harbour, and the Brisbane to Cairns link later provided a boost to the tourism industry in the Cairns area. The cities of the region developed differently. The development of the Cairns region was due to the discovery of rich minerals such as gold and tin, but when these were exhausted, agriculture, mainly sugar cultivation, became the basis of the economy of that Queensland region. heritage ALLIANCE Job 2009-20 Thematic History of Cairns vi The Second World War significantly changed activities in and around Cairns, especially after the fall of Singapore in 19 2 when it became an important base.

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