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 Sabah Al Salem

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

  • 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 Sabah Al Salem
Data Science This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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. You'll have a personal mentor who will keep track of your development. 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 may learn all of the skills and talents required to become a data scientist by enrolling in the top data science online courses in Sabah Al Salem. Cleaning and validating data to ensure that it is accurate and consistent. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills.

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 Sabah Al Salem

  • مدرسةهلالفجحانالمطيريالمتوسطة-بنين | Location details: Hilal Fajhan Al Mutairi Middle School (Boys), Sabah Al Salem, Kuwait | Classification: Grammar school, Grammar school | Visit Online: moe.edu.kw | Contact Number (Helpline): +965 2542 6220
  • LondonCollegeUKAKuwait | Location details: 734P+J6G, Sabah Al Salem, Kuwait | Classification: Charter school, Charter school | Visit Online: londoncollegeuk.com | Contact Number (Helpline): +965 2209 4009
  • SupplyOfAliSabahAl-Salem | Location details: X43X+GQ8, Ali Sabah Al Salem, Kuwait | Classification: Home goods store, Home goods store | Visit Online: | Contact Number (Helpline): +965 2327 4295
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  • AbsolutoKuwait | Location details: House 3, Street Number 1, Sabah Al Salem, Kuwait | Classification: Martial arts school, Martial arts school | Visit Online: absolutokuwait.com | Contact Number (Helpline): +965 500 14004
  • SabahAlSalemStadium | Location details: Al Arabi St, Kuwait | Classification: Football club, Football club | Visit Online: arabiclub.net | Contact Number (Helpline):
  • KOSA-KuwaitOffshoreSailingAssociation | Location details: Block 14, Salem Sabah Al Salem Al Sabah street, Salem Sabah Al Salem Al Sabah St, Kuwait | Classification: Boat club, Boat club | Visit Online: kosakwt.com | Contact Number (Helpline): +965 9712 1292
  • DragonWarriors | Location details: 63XQ+XXX, Sabah Al Salem, Kuwait | Classification: Gym, Gym | Visit Online: | Contact Number (Helpline): +965 9916 6211
  • EPGSchoolSabahSalem | Location details: 735H+3QX, Sabah Al Salem, Kuwait | Classification: School, School | Visit Online: epg.edu.kw | Contact Number (Helpline): +965 6555 3778
  • SevenSeasons | Location details: Sabah Al Salem, Kuwait | Classification: Cafe, Cafe | Visit Online: instagram.com | Contact Number (Helpline): +965 2209 5555
  • EnglishSkillsAlahliTrainingInstitute | Location details: 737J+7MG, Sabah Al Salem, Kuwait | Classification: School, School | Visit Online: | Contact Number (Helpline): +965 9944 3175
  • WALAcademyCompanyForConsultingTraining | Location details: Block 1،، Sabah Al Salem, Kuwait | Classification: Corporate office, Corporate office | Visit Online: | Contact Number (Helpline): +965 6708 0007
  • NaifChickenمطعمنايف | Location details: 207, Sabah Al Salem, Kuwait | Classification: Chicken restaurant, Chicken restaurant | Visit Online: naif.com.kw | Contact Number (Helpline): +965 1808 777
  • SabahAlSalem | Location details: 737J+5V6, Sabah Al Salem, Kuwait | Classification: Lodging, Lodging | Visit Online: | Contact Number (Helpline): +965 6586 1073
  • TaibahTrainingAndConsultancyGroup | Location details: 732P+CWM, Sabah Al Salem, Kuwait | Classification: Training centre, Training centre | Visit Online: ttcg.co | Contact Number (Helpline): +965 2551 2762
  • KOSA-KuwaitOffshoreSailingAssociation | Location details: Block 14, Salem Sabah Al Salem Al Sabah street, Salem Sabah Al Salem Al Sabah St, Kuwait | Classification: Boat club, Boat club | Visit Online: kosakwt.com | Contact Number (Helpline): +965 9712 1292
 courses in Sabah Al Salem
When Kuwait gained independence, Abdullah al-Salim al-Sabah became the first emir. Since the middle of the 18th century, the Al Sabah dynasty has ruled Kuwait, which gained full independence from the United Kingdom on June 19, 1961. This would provide thousands of Bidoon with stable and well-paying employment. The state bureaucracy works, but it's too big. Kuwait's most recent strategy for education development (2005-2025) was a step toward modernization and development that emphasized the significance of addressing the challenges posed by the nature of the age, including globalization, the information revolution, technological revolution, and global openness. However, the court reinstated Abdullah al-Barghash's citizenship in May 2017 and al-Shemmari's citizenship in October 2016. However, during the peak of activism from 2011 to 2014, political protests and street demonstrations, which were once common, have become uncommon. However, Kuwait City's infrastructure was significantly damaged by severe floods in November 2018, including roads, bridges, and some of the city's newly constructed infrastructure. Despite frequently having lived in Kuwait all of their lives, Bidoon have been denied full citizenship rights (such as access to social welfare, favorable employment, and voting rights) for decades. Kuwaitis have the right to free social services like healthcare and education, though the quality isn't always up to par.

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