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
10000+
20+
50+
25+

Data Science Jobs in Mangaf

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

  • 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 Mangaf
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. 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. Identify and collect data from data sources. You'll have a personal mentor who will keep track of your development. 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. 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. . 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.

List of All Courses & Internship by TechnoMaster

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List of Training Institutes / Companies in Mangaf

  • ArabicSchool | Location details: 34PG+2J3, Mangaf, Kuwait | Classification: Language school, Language school | Visit Online: | Contact Number (Helpline):
  • المعهدالوطنيللتدريبالأهلي-المنقف | Location details: 34RH+VF5, Mangaf, Kuwait | Classification: Computer training school, Computer training school | Visit Online: | Contact Number (Helpline):
  • الحمدانلتعليمقيادةالسيارات(AlhamdanDrivingSchool) | Location details: Anwar Alsabah Complex, Building 9 28 St, Mangaf, Kuwait | Classification: Driving school, Driving school | Visit Online: business.site | Contact Number (Helpline): +965 2391 1921
  • NoorAlSalamInstitute | Location details: 444G+V3X, Mangaf, Kuwait | Classification: Educational institution, Educational institution | Visit Online: nooralsalam.com | Contact Number (Helpline): +965 2220 4134
  • UmmHakimIntermediateSchoolGirls | Location details: Mangaf, Kuwait | Classification: Grammar school, Grammar school | Visit Online: | Contact Number (Helpline): +965 9414 2013
  • ApachiaInstituteForPrivateTraining | Location details: Al Saraf Building, Tower 6, Street 100, Block 3 Mangaf، 53703, Kuwait | Classification: Educational institution, Educational institution | Visit Online: apachia.com | Contact Number (Helpline): +965 9887 0372
  • ShitoRyoKarateTrainingSchool | Location details: 34VP+W5R, Mangaf, Kuwait | Classification: Karate school, Karate school | Visit Online: karateinkuwait.com | Contact Number (Helpline): +965 9954 2194
  • MindtreeInstitute | Location details: Mangaf Bock:3, Building No: 87, Street No: 16 Behind Silver Laundry Kuwait, 00000, Kuwait | Classification: Educational consultant, Educational consultant | Visit Online: mindtreekuwait.com | Contact Number (Helpline): +965 555 89417
  • SwissGym | Location details: Mangaf، Kuwait | Classification: Gym, Gym | Visit Online: | Contact Number (Helpline): +965 2373 4500
  • Tahinur | Location details: 44GM+QF, Mangaf, Kuwait | Classification: Driving school, Driving school | Visit Online: | Contact Number (Helpline):
  • Cre8iveChildDaycare&Preschool | Location details: Abdulla Ali Al Haqqan St, Mangaf, Kuwait | Classification: Nursery school, Nursery school | Visit Online: cre8ivechild.com | Contact Number (Helpline): +965 2372 2585
  • DynatonSafetySolutions|SafetyTrainingInstitute | Location details: Mangaf block 3, Street 24 Building 52, floor 3. Kuwait Al mangaf, 53700, Kuwait | Classification: Occupational safety and health, Occupational safety and health | Visit Online: dynatonsafety.com | Contact Number (Helpline): +965 556 16798
  • CAPQCareerFoundationCenter | Location details: Block 4 , Street 21 Building 110,Near Al Mangaf, Kuwait., Kuwait | Classification: School, School | Visit Online: | Contact Number (Helpline): +965 9723 7273
  • OmigaSwimming | Location details: 17-23 30 St, Mangaf, Kuwait | Classification: Swimming school, Swimming school | Visit Online: | Contact Number (Helpline):
  • الحمدانلتعليمقيادةالسيارات(AlhamdanDrivingSchool) | Location details: Anwar Alsabah Complex, Building 9 28 St, Mangaf, Kuwait | Classification: Driving school, Driving school | Visit Online: business.site | Contact Number (Helpline): +965 2391 1921
  • المعهدالوطنيللتدريبالأهلي-المنقف | Location details: 34RH+VF5, Mangaf, Kuwait | Classification: Computer training school, Computer training school | Visit Online: | Contact Number (Helpline):
 courses in Mangaf
A number of secondary schools began using the unit system, also known as the credit hour system, in 1978. Within the first three days of the announcement, 20,000 applications are said to have been submitted to the military. The government has recently attempted to resolve the problem reluctantly. The only university in Kuwait is Kuwait University, which is divided into applied colleges and a university. Religious private schools were being established by the end of the century, around 1887, but only at the primary level. 00. Expatriate workers make up about two-thirds of Kuwait's population, and they have no chance of becoming citizens. The academic year is broken up into two 15-week semesters and an eight-week summer session. 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. In Kuwait, informal education was introduced in the nineteenth century through the mosques.

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