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 learns 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
This syllabus is not final and can be customized as per needs/updates
 
10000+
20+
50+
25+

Data Science Jobs in Doha

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

  • 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 Doha
Data Science This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. You'll have a personal mentor who will keep track of your development. To find trends and patterns, use algorithms and modules. 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 Doha. 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. 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 Doha. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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. 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.

Meet a Few of our Industry Experts 🚀 Your Pathway to IT Career

Chandu

Mobile: +91 91884 77559
Location: Telangana, Online (Doha)
Qualification: B.com general

Experience: I did two internship for seo off page i have 10 experience on internship  more..

Komal

Mobile: +91 8301010866
Location: Maharashtra, Online (Doha)
Qualification: BE

Experience: I am fresher but I have done internsip in wordpress Developer that reason i have knowledge about this position   more..

Prathamesh

Mobile: +91 94975 90866
Location: Maharashtra, Online (Doha)
Qualification: MCA

Experience: Skills - HTML5 CSS Javascript React js Node js php etc  more..

Afjitha

Mobile: +91 8301010866
Location: Kerala, Online (Doha)
Qualification: Btech

Experience: 2 5 years of experience in Automation testing using selenium java TestNG framework BDD cucumber selenium TestNG API testing using  more..

Rahul

Mobile: +91 98474 90866
Location: Kerala, Online (Doha)
Qualification: B.tech Graduate

Experience: I have completed 6 months training at Obsqura Zone Tvm on Manual Testing and Selenium Automation testing Skills: Basic Java  more..

Meenu

Mobile: +91 9895490866
Location: Ernakulamr, Online (Doha)
Qualification: Btech ec

Experience: Knowledge in programming languages Good in team works Good communication skills Strong knowledge in manual testing   more..

Anjali

Mobile: +91 8301010866
Location: Mumbai, Online (Doha)
Qualification: B.E in computer engineering

Experience: I have 2 6 years of experience in insurance domain and I successfully perform functinal smoke sanity and regression testing  more..

vikas

Mobile: +91 8301010866
Location: Uttar Pradesh, Online (Doha)
Qualification: Master degree

Experience: Customizing and configuring Odoo modules to meet client requirements Developing and implemeting new odoo modules providing technicel support and troubleshooting  more..

Shwetali

Mobile: +91 8301010866
Location: Maharashtra, Online (Doha)
Qualification: BE - IT

Experience: I have 2+ years of experience in web development currently working as a Angular developerApplication for Angular JS  more..

TAPAN

Mobile: +91 91884 77559
Location: Odisha, Online (Doha)
Qualification: MCA

Experience: My Skills is C C++ JAVA C# ASP NET HTML CSS JAVASCRIPT BOOTSTRAP MYSQL SQL SERVER Experience is now I  more..

Sudarvizhi

Mobile: +91 98474 90866
Location: Chennai, Online (Doha)
Qualification: B. E

Experience: Ios developer and 6 years of experience  more..

Jijnasa

Mobile: +91 89210 61945
Location: Thrissur, Online (Doha)
Qualification: BCA

Experience: Manual testing automation testing postman jmeter jira GitHub sdlc requirement analysis  more..

Elavarasan

Mobile: +91 9895490866
Location: Coimbatore , Online (Doha)
Qualification: BE mechanical engineering

Experience: Hi am completed in BE mechanical engineering and Python certificate course complete then I have attended in odoo Internship 3months  more..

Sheaba

Mobile: +91 8301010866
Location: Cherthala, Alappuzha, Online (Doha)
Qualification: M.Tech

Experience: Experience in automation testing using Protractor Typescript and Selenium Java   more..

Ambily

Mobile: +91 91884 77559
Location: Kochi, Online (Doha)
Qualification: B.tech

Experience: Effective communication Adaptability Critical and Creative thinking Interpersonal skills Automation and Manual testing Selenium Apache Jmeter Jira Postman  more..

Rincy

Mobile: +91 91884 77559
Location: Gujarat, Online (Doha)
Qualification: B-Tech

Experience: My resume showcases my experience as an Instrumentation engineer Post maternity break I am involved in voluntary design works and  more..

Ann

Mobile: +91 98474 90866
Location: Kochi, Online (Doha)
Qualification: Btech

Experience: 5 5 years of experience in seo content creation and digital marketing   more..

Sreehari

Mobile: +91 89210 61945
Location: Allapuzha , Online (Doha)
Qualification: BTech

Experience: Html css javascript angular mongodb react nodejsApplication for Meanstack Developer Mean Stack  more..

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.

Photos of Training / Internships

Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha
Internship/projects in doha

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer