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 Mecca

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

  • 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 Mecca
Data Science You'll have a personal mentor who will keep track of your development. 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 Mecca. Create data strategies with the help of team members and leaders. 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 Mecca. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. Effectively analyze both organized and unstructured data Create strategies to address company issues. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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.

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 Mecca

  • Dunkin'Donuts | Location details: Makkah - Jeddah Hwy, بجوار اكسترا ماركت،، Mecca 24323, Saudi Arabia | Classification: Donut shop, Donut shop | Visit Online: dunkindonuts.sa | Contact Number (Helpline):
  • NiagaraCollege | Location details: 5365 Ibrahim Al Khalil Rd, Walyal Ahd Dist., Mecca 24369 8479, Saudi Arabia | Classification: College, College | Visit Online: | Contact Number (Helpline): +966 53 252 9632
  • PetrominExpress | Location details: Ibrahim Al Joufaili, St, Mecca 24372, Saudi Arabia | Classification: Oil change service, Oil change service | Visit Online: petromin.com | Contact Number (Helpline): +966 53 362 9621
  • ImperialComputerTraining&Consultancy | Location details: 8VX6+42M, Mecca Colony, Gulbarga, Karnataka 585104, India | Classification: Computer networking center, Computer networking center | Visit Online: | Contact Number (Helpline):
  • JarirBookstore|مكتبةجرير | Location details: Justice Oasis Square, As Sail Road, Al Adel, Mecca 24244, Saudi Arabia | Classification: Book store, Book store | Visit Online: jarir.com | Contact Number (Helpline): +966 9200 00089
  • Studio | Location details: CQVV+32Q, Az Zahir, Mecca 24227, Saudi Arabia | Classification: Photography studio, Photography studio | Visit Online: | Contact Number (Helpline): +966 55 139 5957
  • FiveStarComputersAndTechnology | Location details: Al Masjid Al Haram Rd, Alaziziyyah, Mecca 24243, Saudi Arabia | Classification: Computer store, Computer store | Visit Online: instagram.com | Contact Number (Helpline): +966 12 553 0060
  • CaterpillarOutlet | Location details: CV3C+MR6, Al Jamiah, Mecca 24243, Saudi Arabia | Classification: Shoe store, Shoe store | Visit Online: | Contact Number (Helpline): +966 12 566 6931
  • JarirBookstore | Location details: Makkah - Jeddah Expy, Souk Al Hijaz، Mecca 24225, Saudi Arabia | Classification: Book store, Book store | Visit Online: jarir.com | Contact Number (Helpline): +966 9200 00089
  • AlKhaleejTraining&Education-NewHorizon | Location details: Old Makkah Jeddah Rd, Al Diyafah, Mecca 24221, Saudi Arabia | Classification: Computer training school, Computer training school | Visit Online: | Contact Number (Helpline): +966 12 549 3555
  • PECHSETraining | Location details: AL - ANOUD COMPLEX, 4TH FLOOR, OFFICE # 401 MECCA STREET, FAHAHEEL -63000 FAHAHEEL, 68032, Kuwait | Classification: Training centre, Training centre | Visit Online: peckw.net | Contact Number (Helpline):
  • كليةالعزيزيةبنات | Location details: CV28+289, Al Jamiah, Mecca 24243, Saudi Arabia | Classification: University, University | Visit Online: uqu.edu.sa | Contact Number (Helpline): +966 12 566 8702
  • HiltonSuitesMakkah | Location details: Ibrahim Al Khalil, Jabal Omar، Mecca 21955, Saudi Arabia | Classification: , | Visit Online: hilton.com | Contact Number (Helpline): +966 12 556 7000
  • LGNaghi-MAKKAH4Showroomإلجيناغي-فرعمكه4 | Location details: 7215 شارع عبد الله بن العباس، الشوقية مكة 24351 3235 Abdullah Ibn Al Abbas، St,، Mecca Saudi Arabia | Classification: Electronics store, Electronics store | Visit Online: shop.lg.com | Contact Number (Helpline): +966 12 597 0423
  • HyperPandaKhakiya | Location details: Al Lith Rd, Walyal Ahd Dist., Mecca 24354, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • HyperPanda | Location details: جبل ثور،، Mecca 24372, Saudi Arabia | Classification: Hypermarket, Hypermarket | Visit Online: panda.com.sa | Contact Number (Helpline): +966 9200 27707
  • SEO Office No. 115, Al Mansoor Building, Damascus street, Al Qusais, Dubai- UAE Phone: +971-56-6609268, Website: http://www.seo.ae
  • Be4eMarketing Malacca Building Rehana Boulevard King Fahd Road, north of Anas Ibn Malik, Al Malqa district Phone: 00966598018989 Website: https://www.be4em.com
  • KSA, Jeddah - Head Office 5th Floor, Tower 2, Jamjoom Commercial Center, Jeddah, Saudi Arabia +966 56 5985098, Website: http://gotima.com
  • Scopic Software 12 Carly Circle, Rutland MA 01543 US Phone: (855) 717-5586 (toll free), website: https://scopicsoftware.com
  • MECCCA Development Corporation PO Box 24698, Detroit, MI 48224 ​Tel: 313-757-1355 Website: https://www.meccadc.org
 courses in Mecca
She donated funds to deepen the Zamzam well and financed a massive project worth 1. Makkah has a warm desert climate with three distinct plant hardiness zones. By the 19th century, water play had all but disappeared before Osman Pasha started restoration and cleaning operations. The governor of the metropolis is the Emir of Mecca, the Mintaka Aliya (Administrative Region), who has decided to help develop the region. A normal city economic system is business and supply oriented. Finding a sustainable water supply for Mecca's resident population and numerous annual pilgrims has been a task initiated by generations of Abbasids under the patronage of Zubaida, wife of Caliph Harun ar-Rashid. Sometimes another source of water was rain that people collected in small tanks or cisterns. This is one of the holiest places in the Muslim city. Makkah is one of the lowest cities in the Hijaz region, situated at an elevation of 277 m (909 ft) above sea level at 21º23'N and 39º51'E. So in 1245 AD, 1361 AD, 1400 AD, 1474 AD and 1510 AD, special rulers invested heavily in maintaining this device.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer