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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
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Data Science Jobs in Muharraq

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

  • 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 Muharraq
Data Science 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. 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 Muharraq. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. Identify and collect data from data sources. 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 Muharraq. To find trends and patterns, use algorithms and modules.

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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 Muharraq

  • HertzCarRental | Location details: MANAMA، Muharraq, Bahrain | Classification: Car rental company, Car rental company | Visit Online: | Contact Number (Helpline): +973 1713 8914
  • Bath&BodyWorks | Location details: Seef Mall Muharraq, Bahrain | Classification: Beauty supply store, Beauty supply store | Visit Online: bathandbodyworks.com.bh | Contact Number (Helpline): +973 1749 5801
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  • MichaelKors | Location details: Bahrain International Airport, Rd No 2403, Muharraq, Bahrain | Classification: Fashion accessories shop, Fashion accessories shop | Visit Online: locations.michaelkors.com | Contact Number (Helpline): +973 1772 3100
  • Expeditors | Location details: Door 1, Gate 18 GLS Compound, Muharraq Muharraq, Manama, Bahrain | Classification: Freight Forwarding Service, Freight Forwarding Service | Visit Online: expeditors.com | Contact Number (Helpline): +973 1753 2288
  • MaarejSystemsDevelopment | Location details: Building 588, Rd No 1223, Muharraq, Bahrain | Classification: Software company, Software company | Visit Online: maarejsys.com | Contact Number (Helpline): +973 3402 6833
  • ShopAndShip | Location details: 3 & 4 Gate 18, GLS Compound، Rayya Hwy, Muharraq, Bahrain | Classification: Delivery Company, Delivery Company | Visit Online: shopandship.com | Contact Number (Helpline): +973 1733 0434
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 courses in Muharraq
in general, and more so of Muharraq in particular. This cartographic paintings depicts Muharraq as a curved left hand with the city of Muharraq on the wrist and current Arad because the thumb extending downward into the sea. 2 The History of Muharraq Muharraq has lengthy been taken into consideration as the second one city of Bahrain, while the records of Bahrain and the literature strongly describes evidences that Muharraq might had been one of the first settlements in Bahrain. From the anciental money owed it's been discovered that discrepancies exist regarding the place of Muharraq in the island of Arad. After a short evaluation of the anciental context of Bahrain, the literature evaluation will remember the records of Muharraq and later describes the present day kingdom of conservation of the historic city cloth and settlements and proposes a few priorities for conservation primarily based totally at the records amassed. Many of those money owed got here from the travelogues and a near remark exhibits at the least distinctive descriptions of the place of Muharraq inside Arad withinside the beyond. At that time, Bahrain become the most important pearling centre and port in global alternate course among the Far East, India and Europe (Map 2. This bankruptcy offers an perception into the records of Muharraq, outlining a number of the statistics hitherto unknown, from manuscripts files approximately Muharraq, its importance as historical past withinside the Gulf, and its kingdom of conservation of numerous historical past factors. The records consequently compiled from anciental money owed of guests and maps created withinside the beyond, offers perception into the urbanization sample withinside the beyond and the numerous factors of the city cloth and the tribes which settled there. At that time, Bahrain become ruled with the aid of using the Seleucid Greeks, an occasion which has been recorded (Larsen, 1984).

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