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 Riyadh

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

  • 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 Riyadh
Data Science Experts provide immersive online instructor-led seminars. Effectively analyze both organized and unstructured data Create strategies to address company issues. Create data strategies with the help of team members and leaders. 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. 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. 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. There are numerous reasons why you should take this course.

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 Riyadh

  • MKCLArabiaLtd. | Location details: Orchid Center 7198 Ath Thumamah Rd - Al Sahafah Dist Unit No 27-3642, Riyadh 13315, Saudi Arabia | Classification: Education center, Education center | Visit Online: mkcl-arabia.com | Contact Number (Helpline): +966 54 191 5777
  • WeamTrainingInstituteWTI | Location details: Abdulrahman Ash Shaabi, Ar Rawdah, Riyadh 13211, Saudi Arabia | Classification: Computer training school, Computer training school | Visit Online: | Contact Number (Helpline): +966 50 413 9916
  • FlexibleInformationTechnology-مرنلتقنيةالمعلومات | Location details: 4573, Riyadh Saudi Arabia | Classification: Software company, Software company | Visit Online: flexible.sa | Contact Number (Helpline): +966 9200 07434
  • AdwaaAlShugaa | Location details: 6331 King Fahd Rd, Al Olaya, Riyadh 12211, Saudi Arabia | Classification: Security system supplier, Security system supplier | Visit Online: alshugaacomputers.com | Contact Number (Helpline): +966 50 985 2581
  • INFOFIXITSOLUTIONS | Location details: Olaya St, Al Olaya, Office 20 - 1st Floor Al Rossais Commercial Center, Riyadh 12211, Saudi Arabia | Classification: Computer support and services, Computer support and services | Visit Online: infofixksa.com | Contact Number (Helpline): +966 53 307 9683
  • SASInstituteSaudiArabia | Location details: 3611 Prince Mohammed Ibn Salman Ibn Abdulaziz Rd, Al Falah, Riyadh 13314, Saudi Arabia | Classification: Software company, Software company | Visit Online: sas.com | Contact Number (Helpline): +966 11 444 3386
  • AflakElectronicIndustrisCoشركةأفلاكللصناعاتالإلكترونية | Location details: 2864 Prince Sultan Bin Abdulaziz Rd, Al Olaya, Riyadh 12222 7326, Saudi Arabia | Classification: Electronics store, Electronics store | Visit Online: aflak.com.sa | Contact Number (Helpline): +966 11 465 7722
  • Deva;t | Location details: Abdulmunim Riyadh St., M SQUARE Complex, 6th floor block 3 Kuwait city, 00965, Kuwait | Classification: Software company, Software company | Visit Online: hellodevait.com | Contact Number (Helpline): +965 9874 8866
  • LuLuHypermarket-RiyadhAvenueMall-Murabba | Location details: Prince Faisal Bin Turki Bin Abdul Aziz Rd, Riyadh Avenue Mall, Level 1, Riyadh Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: luluhypermarket.com | Contact Number (Helpline): +966 11 402 6655
  • SBM-SaudiBusinessMachines | Location details: Bin Abdulaziz Alawal Road, An Nakheel, Prince Turkey, Riyadh 11421, Saudi Arabia | Classification: Association or organization, Association or organization | Visit Online: sbm.com.sa | Contact Number (Helpline): +966 11 813 3333
  • ErpSoftwareInRiyadh | Location details: Malaz, Riyadh 11653, Saudi Arabia | Classification: Software company, Software company | Visit Online: keysoftnet.com | Contact Number (Helpline): +966 57 167 2086
  • JarirBookstore | Location details: الطريق الدائري الشمالي الفرعي،, Almasiaf, Riyadh 12468, Saudi Arabia | Classification: Book store, Book store | Visit Online: jarir.com | Contact Number (Helpline): +966 9200 00089
  • HyperPanda | Location details: Western Ring Branch Rd, Alawali, Riyadh 14924, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • Sms | Location details: QP5F+9WW, Al Mughrizat, Riyadh 12481, Saudi Arabia | Classification: Software company, Software company | Visit Online: hisms.ws | Contact Number (Helpline): +966 50 999 4854
  • JarirBookstore | Location details: Exit 25, Southern Ring Rd, Shubra, Riyadh 11564, Saudi Arabia | Classification: Book store, Book store | Visit Online: jarir.com | Contact Number (Helpline): +966 9200 00089
  • BarqSystems | Location details: Al Olaya, Howaishel Tower A, 1st Floor, Al 12212 7720, Riyadh Saudi Arabia | Classification: Computer support and services, Computer support and services | Visit Online: barqsystems.com | Contact Number (Helpline): +966 11 464 5664
  • Hashtag Social Media Agency Address: King Abdulaziz Branch Road, As Sulimaniyah, Riyadh 12243, Saudi Arabia Phone Number: +966 11 293 2889, Website: http://hashtag-me.com/
  • Ethos Social and Digital Media Agency Riyadh Address: Musa Ibn Nusair, Al Olaya,، Buidling Number: 2983، Zip Code: Riyadh 12241، Additional Number: 6920، Riyadh Saudi Arabia Phone Number: +966 11 293 9093, Website: http://www.ethosinteract.com/
  • WSI Stream Address: 6699 Fayd As Samaa, Al-Ruwais, 106، Jeddah 23213, Saudi Arabia Phone Number: +966 12 263 7151, Website: http://www.wsiksa.com/
  • Boxile Address: 2858 Zaid Al Ansari, Ar Rabwah, Riyadh 12823 35460, Saudi Arabia Phone Number: +966 58 155 5877,Website: http://www.boxile.net/
 courses in Riyadh
. 6°C (110. - Rashidi. Riyadh is a relatively young city, more than half of its residents are under the age of 20 and only one is over 60, making Riyadh a safe haven for multinational corporations and computing innovators. 'ha, Al-Khair, Al-Rauda and Al-Shimal ("North"). The city has 114 foreign embassies, most of which are located in the diplomatic district west of the city. The Royal Commission for Riyadh, chaired by Provincial Governor Faisal bin Bandar Al Saud. Turki ibn Abdullah founded the second state of Saudi Arabia in the early 19th century and chose Riyadh as its capital in 1825. The city is divided into 15 central administrative districts under the control of Riyadh Municipality headed by a mayor. However, his rule over the city was broken by the Ottoman allies.

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