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
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Data Science Jobs in Hamad Town

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

  • 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 Hamad Town
Data Science 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 Hamad Town. Cleaning and validating data to ensure that it is accurate and consistent. There are numerous reasons why you should take this course. 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. Exercises, tasks, and projects that are completed in real-time 24 hours a day, 7 days a week, A large network of like-minded newbies, an industry-recognized intellipaat credential, and individualized employment support Several data scientist responsibilities are listed below. Effectively analyze both organized and unstructured data Create strategies to address company issues. You'll have a personal mentor who will keep track of your development. Experts provide immersive online instructor-led seminars. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages.

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 Hamad Town

  • ComputerCity | Location details: Hamad Town, market, Bahrain | Classification: Computer store, Computer store | Visit Online: | Contact Number (Helpline): +973 3409 0708
  • Batelco | Location details: Road 307، Building 413، Block 1203، Hamad Town, Bahrain | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: batelco.com | Contact Number (Helpline): +973 3961 1196
  • Al-ShalanComputerWorkshop-ورشةالشعلانللكمبيوتر | Location details: Road No 433, Block 1204, Shop 2137A, Roundabout 3, Hamad Town, Bahrain | Classification: Computer repair service, Computer repair service | Visit Online: shalancomp.com | Contact Number (Helpline): +973 3941 1478
  • BahrainLogoDesign | Location details: Villa 3471, Road 555, Block 1205، Hamad Town, Bahrain | Classification: Marketing agency, Marketing agency | Visit Online: logodesign.business.site | Contact Number (Helpline): +973 3777 9523
 courses in Hamad Town
Land use capabilities now no longer gift withinside the imagery had been eliminated hence forming the land-use map as on the yr 1989. The avenue community changed into now no longer finished in Hamad Town in 1989. 2. This assignment indicates that GIS is a effective device to examine the fashions of cities and to deliver diverse tips so as to beautify the environmental, monetary and social amenity of the city. It aimed additionally to provide land use maps and to calculate the location of every land use class and its importance and function in shaping the person of the city. GIS changed into capable of spotlight the modifications which have passed off between 1989 and 2006. Two maps were produced that display the improvement and the modifications withinside the land use on this duration. In that point His Highness Shaikh Isa bin Salman Al Khalifa positioned the muse stone of the brand new city (Isa Town). In Sixties the 2 primary cities in Bahrain (Manama and Muharraq) have become with very excessive populace density. The aerial photographs had been geo-referenced to the map.

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