Data Science Training by Experts

;

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 Bahrain

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

  • 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 Bahrain
Data Science 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 find trends and patterns, use algorithms and modules. Experts provide immersive online instructor-led seminars. Create data strategies with the help of team members and leaders. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. Effectively analyze both organized and unstructured data Create strategies to address company issues. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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. Identify and collect data from data sources.

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 Bahrain

  • AlHadiEngineering | Location details: Rd No 103, Riffa, Bahrain | Classification: Civil engineering company, Civil engineering company | Visit Online: | Contact Number (Helpline): +973 1777 9700
  • PosbankMiddleEast | Location details: Bahrain - Tubli :: Building 118A :: Block 707 - Avenue 11 :: 1st Floor:: Flat، 11 Avenue 11, Tubli, Bahrain | Classification: Software company, Software company | Visit Online: posbank.me | Contact Number (Helpline): +973 3377 1183
  • AramisEnterpriseSolutions | Location details: Building No: 872, Office No: 53-54, Road No: 3616, Area: 436 Al Seef District Manama، 999, Bahrain | Classification: Software company, Software company | Visit Online: aramissolutions.com | Contact Number (Helpline): +973 1725 9007
  • MeggerLimited | Location details: Millennium Tower, 9th floor Seef District, Bahrain | Classification: Corporate office, Corporate office | Visit Online: megger.com | Contact Number (Helpline): +973 1774 0620
  • ZeroneHiTechWLL | Location details: Office No. 1304, 10th Floor, Unisono Tower، Bldg 614, Road 1011, Block 410، Sanabis، Manama, Bahrain | Classification: Software company, Software company | Visit Online: zeronehitech.com | Contact Number (Helpline): +973 3660 4707
  • BanzWarehouses | Location details: 6J34+XG2, Manama, Bahrain | Classification: Warehouse, Warehouse | Visit Online: banzgroup.com | Contact Number (Helpline): +973 1781 6070
  • RPLTechnologyServicesW.L.L | Location details: Office11, Building 594, Road 815, Block 308، Manama 308, Bahrain | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: rpltechnologyservices.com | Contact Number (Helpline): +973 3227 0190
  • Nexcel | Location details: Shop no: 219-D, Road, 18 Exhibitions Ave, Manama, Bahrain | Classification: Corporate office, Corporate office | Visit Online: nexcel.me | Contact Number (Helpline): +973 3394 5666
  • EasternAsphaltAndMixedConcreteCompanyW.L.L | Location details: 356 Manama, 474, Bahrain | Classification: Corporate office, Corporate office | Visit Online: | Contact Number (Helpline): +973 1725 2078
  • SmartAccessTechnology | Location details: Fakhro Tower, Building 470, Floor 8 (West),Road 1010, Block 410, Sanabisn, Manama, Bahrain | Classification: Software company, Software company | Visit Online: smart-access.net | Contact Number (Helpline):
  • OregonSystems | Location details: Rd No 3523, Manama, Bahrain | Classification: Computer consultant, Computer consultant | Visit Online: oregon-systems.com | Contact Number (Helpline): +973 1774 4905
  • ITHUB | Location details: Shop 2698,Bld 31, Block 318, Road 1851،, Manama, Bahrain | Classification: Business networking company, Business networking company | Visit Online: ithub.me | Contact Number (Helpline): +973 1724 6305
  • IWorld-AppleAuthorisedResellerAndServiceProvider | Location details: Exhibition Avenue Road No 1805 Manama, 814, Bahrain | Classification: Computer store, Computer store | Visit Online: almoayyedintl.com | Contact Number (Helpline): +973 1753 5454
  • Microsoft | Location details: 6GPR+CMV, Seef, Bahrain | Classification: District office, District office | Visit Online: microsoft.com | Contact Number (Helpline): +973 8000 0943
  • OMEGABoutique-ModaMall | Location details: Moda Mall, Manama, Bahrain | Classification: Watch shop, Watch shop | Visit Online: omegawatches.com | Contact Number (Helpline): +973 1733 5753
  • GenetechTrainingAndDevelopment | Location details: Building 79, Road 2802, Block 428, Bahrain | Classification: Training centre, Training centre | Visit Online: | Contact Number (Helpline): +973 1700 5131
 courses in Bahrain
But while SIRC is free, it calls for the Microsoft Windows OS and different proprietary Windows drivers. The are related thru a PCIe bus connection. As a result, those gear are unwell perfect for accelerating software program programs. Acceleration frequently calls for constructing large additives for simple capability earlier than any utility common sense may be implemented. In contrast, the GPU discipline has visible extensive improvement in the direction of accelerating software program programs the usage of GPUs. Our preliminary model has centered simplest Xilinx FPGAs. Our purpose is to decrease the limitations for utility acceleration the usage of FPGAs. In order to allow get entry to outdoor of the kernel, the driving force creates a digital tool record withinside the dev filesystem. For those reasons, we constructed our framework to apply a PCIe bus. Software Interface On the software program end, we evolved a PCIe Linux tool motive force and a fixed of software program libraries.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer