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
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Data Science Jobs in Al Wakrah

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

  • 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 Al Wakrah
Data Science To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. 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. Experts provide immersive online instructor-led seminars. Identify and collect data from data sources. . Effectively analyze both organized and unstructured data Create strategies to address company issues. To find trends and patterns, use algorithms and modules. 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

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 Al Wakrah

  • MusicLounge(Training&Events) | Location details: Al Wakra Main St، Al Wakrah, Qatar | Classification: Music school, Music school | Visit Online: musicloungeqatar.com | Contact Number (Helpline): +974 5557 2429
  • FalconTrainingCenter | Location details: 5H9X+56R, Al Wakrah, Qatar | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline):
  • AJTrading&ContractingW.L.L., | Location details: 5H8X+92F, Al Wakrah, Qatar | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +974 4471 1703
  • InfocusComputerTrainingCenter | Location details: Abdul Rahman Bin Jasim St, Al Wakrah, Qatar | Classification: Training centre, Training centre | Visit Online: infocusqa.com | Contact Number (Helpline): +974 4005 9393
  • MuradComputerTechnology | Location details: Al Wakrah, Qatar | Classification: Computer store, Computer store | Visit Online: muradcomputer.netlify.com | Contact Number (Helpline): +974 4464 5023
  • AlWakrahImmigrationOffice | Location details: 5JC3+5FH, Al Wakrah, Qatar | Classification: Immigration & naturalization service, Immigration & naturalization service | Visit Online: | Contact Number (Helpline): +974 4464 0699
  • NetworkConsultancyServices | Location details: Office No. 136, 1st Floor, Wakra, Abdul Rahman Bin Jasim St, Al Wakrah, Qatar | Classification: Computer support and services, Computer support and services | Visit Online: ncs.com.qa | Contact Number (Helpline): +974 5534 5797
  • Al-KhaleejAcademyTrainingCenter | Location details: 5H7W+FXM, Al Wakrah, Qatar | Classification: Corporate office, Corporate office | Visit Online: ka.com.qa | Contact Number (Helpline): +974 6643 3311
  • AnytimeFitness | Location details: 5JM2+2RP, Al Wakrah, Qatar | Classification: Boxing gym, Boxing gym | Visit Online: anytimefitness.com | Contact Number (Helpline): +974 4411 1999
  • AMWAJCATERINGSERVICESMGV1Camp | Location details: Al Wakrah, Qatar | Classification: Catering food and drink supplier, Catering food and drink supplier | Visit Online: amwajservices.qa | Contact Number (Helpline): +974 4491 2009
  • InfocusComputerTrainingCenter | Location details: Abdul Rahman Bin Jasim St, Al Wakrah, Qatar | Classification: Training centre, Training centre | Visit Online: infocusqa.com | Contact Number (Helpline): +974 4005 9393
  • NCS | Location details: Office No. 136, 1st Floor, Wakra, Abdul Rahman Bin Jasim St, Al Wakrah, Qatar | Classification: Computer support and services, Computer support and services | Visit Online: ncs.com.qa | Contact Number (Helpline): +974 5534 5797
  • CAMECenterForTrainingAndConsulting | Location details: Al Wakra Main St, Al Wakrah, Qatar | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +974 4414 0666
  • ZearoConsultingServices | Location details: Al Wakra Main St, Al Wakrah, Qatar | Classification: Software company, Software company | Visit Online: zearo.qa | Contact Number (Helpline): +974 6681 5564
  • AnytimeFitness(ladies) | Location details: 5JP2+F57, Al Wakrah, Qatar | Classification: Gym, Gym | Visit Online: | Contact Number (Helpline):
  • EnsignManagementTrainingCenterWLL | Location details: Majlis Al Taawon St, Al Wakrah, Qatar | Classification: Training centre, Training centre | Visit Online: ensign.qa | Contact Number (Helpline): +974 6600 1528
 courses in Al Wakrah
Unlike most of its sister towns, Al Wakrah boasts of a 98% literacy rate.

Situated off the Persian Gulf to its east, Al Wakrah is around15 km south of the capital Doha, 72 km south of Al Khor, 21 km north of Mesaieed, and 100 km southeast of Dukhan. It is currently the second largest city in Qatar. Earlier a small fishing and pearling village, Al Wakrah has evolved into a small city with a sizable population of around 80,000. Having seen a steady growth since the beginning of 21st century, Al Wakrah has come a far way from a coastline based economy to a steady international economy. Fishing and related trade used to be the highlight of this region but now with a well connected road network system Al Wakrrrah has diversified its income sources wisely.

. Al Wakrah has a strong road network and Karwa Transportation Company has ensured bus routes to all operating from this town.

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