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 Hawally

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

  • 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 Hawally
Data Science To find trends and patterns, use algorithms and modules. 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. You'll have a personal mentor who will keep track of your development. 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. Experts provide immersive online instructor-led seminars. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. Cleaning and validating data to ensure that it is accurate and consistent. Create data strategies with the help of team members and leaders.

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 Hawally

  • IDRAKTrainingAndConsultancy | Location details: Beirut Street Safat Tower - 13th Floor، Hawally, Kuwait | Classification: Learning center, Learning center | Visit Online: idrak-kw.com | Contact Number (Helpline): +965 2267 5330
  • AmbitionAcademy | Location details: Al-Adsani Complex, Hawally, Kuwait | Classification: Charter school, Charter school | Visit Online: ambition-kw.com | Contact Number (Helpline): +965 2221 8118
  • UnitedArabInstitueForPrivateTraining | Location details: مجمع العدساني،، Hawally, Kuwait | Classification: Learning center, Learning center | Visit Online: | Contact Number (Helpline): +965 2228 1410
  • FiberNetworkCompany | Location details: Ibn Khaldoun St, Hawally, Kuwait | Classification: Electronic parts supplier, Electronic parts supplier | Visit Online: fibernetkw.business.site | Contact Number (Helpline): +965 2265 1068
  • ItegrityPro | Location details: Office 16, Hawally, Block 2, Othman St. Alfouz Complex, Floor 2, Kuwait | Classification: Software company, Software company | Visit Online: itegritypro.com | Contact Number (Helpline): +965 558 25532
  • UCMASKuwait | Location details: Amman Street, Hawally, Salmiya 32075, Kuwait | Classification: Learning center, Learning center | Visit Online: | Contact Number (Helpline): +965 2561 8895
  • CityTrainingInstitute | Location details: Al Zuba، Midan Hawally، Kuwait | Classification: Training centre, Training centre | Visit Online: cityinstitutekuwait.com | Contact Number (Helpline): +965 2208 7421
  • OceanSoftCo. | Location details: Tunis St, Hawally 22095, Kuwait | Classification: Software company, Software company | Visit Online: ocean-kw.com | Contact Number (Helpline): +965 2261 8384
  • F.S.NGENTRADCO. | Location details: Shua Complex, Ibn Khaldoun St, Hawally, Kuwait | Classification: Software company, Software company | Visit Online: fsnpos.com | Contact Number (Helpline): +965 2220 4393
  • SunMoonComputers | Location details: Ibn Khaldoun St, Hawally, Kuwait | Classification: Computer store, Computer store | Visit Online: sunmoonkw.com | Contact Number (Helpline): +965 2262 9180
  • SmartVisionComputerSystems-Kuwait | Location details: Qutaibah Bin Muslim St, Hawally 30001, Kuwait | Classification: Business networking company, Business networking company | Visit Online: smartvision-kw.page.tl | Contact Number (Helpline): +965 9009 9443
  • IT-Companies-Kuwait | Location details: 82JG+P96, Hawally, Kuwait | Classification: Software training institute, Software training institute | Visit Online: | Contact Number (Helpline): +965 2227 3778
  • QairwanComplex-ComputerMarket | Location details: Ibn Khaldoun St, Hawally, Kuwait | Classification: Software company, Software company | Visit Online: linksystemz.com | Contact Number (Helpline):
  • DaryWebDesigns | Location details: 2th Floor, ِAl- Khier Complex,Tunisia St Near Hawally Park Hawally حولي، 30000, Kuwait | Classification: Website designer, Website designer | Visit Online: darywebdesigns.business.site | Contact Number (Helpline): +965 9728 8348
  • NHEITSolutions | Location details: Block 194,Beiruit Street,Hawally, Opposite CBK,Building 31, Floor 2, Kuwait 45707, Kuwait | Classification: Software company, Software company | Visit Online: nhe.solutions | Contact Number (Helpline): +965 6672 3701
  • ELITESWIMTEAMOFFICE | Location details: 18307 Tunisia St, Hawally 18307, Kuwait | Classification: Swimming school, Swimming school | Visit Online: eliteswimteam.com | Contact Number (Helpline): +965 515 53080
 courses in Hawally
Kuwait is not an exception because, like other nations around the world, it is impacted by climate change, particularly in vital and environmental sectors like human health, coastal areas, water resources, marine environments, and fisheries. A variety of natural hazards are brought on by climate change in dry areas as a result of the sequential interactions between humans, the environment, and climate change. At the same time, the EPA will continue to play a role in coordinating and supervising the various activities and initiatives that aim to achieve the desired goal of reducing the negative effects of climate change and adopting with it. Natural resources are primarily impacted by climate change, particularly in dry subhumid and semi-arid regions. The primary challenge that Kuwait and its inhabitants face is adapting to the challenges posed by climate change. where it affects various sectors in a variety of ways and varies in severity and negative effects from location to location. However, in light of the increasing negative effects of climate change, it is necessary to improve our adaptability by increasing our resilience and adaptability to these global challenges. which include medium- and long-term strategies to boost national adaptability to climate change and strengthen resilience to climate challenges. Due to the fact that climate change is a global phenomenon, the risk of climate change is not restricted to a single location or individual who emits greenhouse gases; rather, the risk extends beyond that location and will affect all humans. One country most affected by climate change's negative effects is Kuwait.

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