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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 Taif

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

  • 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 Taif
Data Science . To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. To find trends and patterns, use algorithms and modules. 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. 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. 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. Create data strategies with the help of team members and leaders. 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 Taif.

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 Taif

  • NewHorizonAndDirectEnglishAndPrometric | Location details: Al Gaysh, Alaqeeq, Taif 26522, Saudi Arabia | Classification: Computer training school, Computer training school | Visit Online: | Contact Number (Helpline): +966 12 737 6600
  • NiagaraCollegeTAIF | Location details: 267, Al Faisaliyyah, Taif 26526, Saudi Arabia | Classification: Vocational college, Vocational college | Visit Online: ncksa.com | Contact Number (Helpline): +966 53 252 9632
  • SambaKuwaitGeneralTradingCompany | Location details: Hawalli 10,Abdulla Abdullataif Al Othman Coupon 2,floor 1,office 8 حولي, 30010, Kuwait | Classification: Computer support and services, Computer support and services | Visit Online: bramjkw.com | Contact Number (Helpline): +965 6601 5003
  • NiagaraCollegeTAIF | Location details: 267, Al Faisaliyyah, Taif 26526, Saudi Arabia | Classification: Vocational college, Vocational college | Visit Online: ncksa.com | Contact Number (Helpline): +966 53 252 9632
  • NewHorizonAndDirectEnglishAndPrometric | Location details: Al Gaysh, Alaqeeq, Taif 26522, Saudi Arabia | Classification: Computer training school, Computer training school | Visit Online: | Contact Number (Helpline): +966 12 737 6600
  • HyperPandaTaif | Location details: حسان بن ثابت، Ashuhada Aljanubiyyah, Taif 26513, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • NewHorizonAndDirectEnglishAndPrometric | Location details: Al Gaysh, Alaqeeq, Taif 26522, Saudi Arabia | Classification: Computer training school, Computer training school | Visit Online: | Contact Number (Helpline): +966 12 737 6600
  • NiagaraCollegeTAIF | Location details: 267, Al Faisaliyyah, Taif 26526, Saudi Arabia | Classification: Vocational college, Vocational college | Visit Online: ncksa.com | Contact Number (Helpline): +966 53 252 9632
  • StrahaResthouse | Location details: 4604 Taif, Dhahrat Laban, Riyadh 13753, Saudi Arabia | Classification: Corporate office, Corporate office | Visit Online: | Contact Number (Helpline):
  • HyperPandaTaif | Location details: حسان بن ثابت، Ashuhada Aljanubiyyah, Taif 26513, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • Vavisa | Location details: Abdulla Abdullataif Al Othman St, Hawally 30000, Kuwait | Classification: Software company, Software company | Visit Online: vavisa-kw.com | Contact Number (Helpline):
  • NiagaraCollegeTAIF | Location details: 267, Al Faisaliyyah, Taif 26526, Saudi Arabia | Classification: Vocational college, Vocational college | Visit Online: ncksa.com | Contact Number (Helpline): +966 53 252 9632
  • HyperPandaTaif | Location details: حسان بن ثابت، Ashuhada Aljanubiyyah, Taif 26513, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • Monarchgroup.uk | Location details: Office No 03, Second (2) Floor, New Taif Hypermarket Building Doha-Qatar, Qatar | Classification: Computer support and services, Computer support and services | Visit Online: monarchgroup.uk | Contact Number (Helpline): +974 4414 0903
 courses in Taif

Known as the City of Roses, Taif is famous for its famous fragrant flowers that grow in the surrounding mountains. . Taif is also home to the historic Okaz Bazaar. 2 sq mi) of heavy, heavy and light industrial parks. Since ancient times, the Taif's main source of income has been agricultural products and perfume. The city is connected to the nearby resort town of Al-Hada via the famous Highway 15 (Taif - Al-Hada Road). 9 billion project called the "New Ta'if" project on October 1, 2017, which aims to establish a new international airport in the city, named Ta'if International Airport, renovated and modernized the historic Souk 'Okaz, established the Oasis of Technology, to house aircraft manufacturing and assembly plants, energy farms solar, industrial airport and suburban residential areas. The city is governed by five municipalities: North Taif, West Taif, East Taif, South Taif and New Taif. As part of the Hejaz, the city has seen multiple transfers of power throughout its history, the last of which occurred during the Saudi conquest of the Hejaz in 1925. Rose oil, obtained from the Rosa × damascena tree, was traditionally used in the Middle East as ittar, primarily in men's perfumes, and was named "Pink Taif" because it is grown in Taif.

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