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 Nizamabad

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

  • 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 Nizamabad
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. 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. Create data strategies with the help of team members and leaders. Experts provide immersive online instructor-led seminars. 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. Creative thinking, problem-solving skills, curiosity, and a drive to learn about and investigate industry trends and development, as well as teamwork, are among the soft skills required by data scientists. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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 Nizamabad. . This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages.

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 Nizamabad

  • DIGOfficeNizamabadRange | Location details: Vijay Talkies Road, near Police Parade, Nizamabad, Telangana 503001, India | Classification: Police department, Police department | Visit Online: nizamabadpolice.com | Contact Number (Helpline): +91 84622 26352
  • TSeva | Location details: Opp; Lic Office, Yallmagattu, Nizamabad, Telangana 503001, India | Classification: Public relations firm, Public relations firm | Visit Online: | Contact Number (Helpline): +91 84622 28018
  • TheProfessionalCouriers | Location details: NTR X Roads, opposite Tngos Home, Nizamabad, 503001, India | Classification: Courier service, Courier service | Visit Online: tpcindia.com | Contact Number (Helpline):
  • AnuFlex | Location details: RP Rd, Shivaji Nagar, Nizamabad, Telangana 503001, India | Classification: Digital printer, Digital printer | Visit Online: anuflex123.business.site | Contact Number (Helpline): +91 92927 00800
  • ComputerPlanet | Location details: 6-2-308, Shop No:2, beside Z.P. Office, Subhash Nagar, Nizamabad, Telangana 503002, India | Classification: Computer repair service, Computer repair service | Visit Online: | Contact Number (Helpline): +91 80197 57372
  • Al-AmeenAirConditioners&RefrigerationServiceCentre | Location details: Mustaid Pura, Mujahed Nagar, Nizamabad, Telangana 503001, India | Classification: Air conditioning repair service, Air conditioning repair service | Visit Online: | Contact Number (Helpline): +91 90000 06830
  • MallikharjunaOffsetPrinters | Location details: Tumma Buchhaiah Complex, Upper Tekdi Road Opp. Upper Tekdi Masjid Pusalagally, Nizamabad, Telangana 503001, India | Classification: Offset printer, Offset printer | Visit Online: | Contact Number (Helpline): +91 98487 18073
  • TelanganaOnlineService | Location details: Near Water Tank, Bada Bazaar Chowrastha, Jama Masjid X Road, Nizamabad, Telangana 503001, India | Classification: Public works department, Public works department | Visit Online: | Contact Number (Helpline):
  • BaisaOffsetPrinters | Location details: Weekly Bazar Rd, near Nagendra Temple, Boigally, Nizamabad, Telangana 503001, India | Classification: Offset printer, Offset printer | Visit Online: | Contact Number (Helpline): +91 98480 71220
  • AnithaLadiesTailors&LadiesEmporium | Location details: Beside : Indur High School Dic Office Road, Subhash Nagar, Nizamabad, Telangana 503002, India | Classification: Tailor, Tailor | Visit Online: | Contact Number (Helpline): +91 89786 57649
  • AirtelBankingPoint | Location details: NEAR BUS STAND, NIZAMABAD, ANDHRAPRADESH, Other, Nizamabad, 503001, India | Classification: Utility contractor, Utility contractor | Visit Online: airtel.in | Contact Number (Helpline): +91 83749 94458
  • IndiaPost | Location details: 1st.Floor, Head Post Office, near Nehru Park, Nizamabad, Telangana 503001, India | Classification: Post office, Post office | Visit Online: ippbonline.net | Contact Number (Helpline):
  • TelanganaGrameenaBank | Location details: 5-6-144, Dwaraka Nagar, Kishandas Compound, Khaleelwadi, Nizamabad, Telangana 503001, India | Classification: Bank, Bank | Visit Online: tgbhyd.in | Contact Number (Helpline): +91 84622 20427
  • UniqueOnlineServices | Location details: Near Madina Masjid, Patigalli, X Road, Phulong, Nizamabad, Telangana 503001, India | Classification: Public works department, Public works department | Visit Online: | Contact Number (Helpline): +91 85199 15808
  • GeniusGraphics&FlexPrint | Location details: Near Crescent College, Bint-E-Haram Complex, Quilla Rd, Nizamabad, Telangana 503001, India | Classification: Digital printing service, Digital printing service | Visit Online: | Contact Number (Helpline): +91 99669 39332
  • SriBalajiOffsetPrinters&Screens | Location details: Laxmi Raj Complex, Pusala Gally, Jawahar Rd, Nizamabad, Telangana 503001, India | Classification: Offset printer, Offset printer | Visit Online: | Contact Number (Helpline): +91 95021 10860
  • web design,ecommerce web design,seo services Address: 3-10-206/1 shivajinagar, near padmashali high school nizamabad, Nizamabad, Telangana 503001 Phone: 091606 73696 , Wesite: https://solidaletech.com/website-designing-development-nizamabad/
  • Sudheer Reddy College of Engineering and Technology Address: Opposite to eenadu office, Hyderabad Road, Keshpur Village, Telangana 503003 Phone: 084612 45888 , Wesite: https://engineering.careers360.com/sudheer-reddy-college-of-engine...
  • Brihaspathi Technologies Pvt.Ltd. Address: -H.No 5-7-71, Bharath Lab Building, Beside Nescafe, Khaleelwadi, Nizamabad, Telangana 503001 Phone: 092466 26767 , Wesite: https://www.brihaspathi.com/
  • Tech Exus Address: 1-57 Jakranpally, nizamabad, Telangana 503175 Phone: 096525 23152 , Wesite: nizamabad-2.listcompanies.in/other/tech-exus-nizamabad/
  • SEO / Digital Marketing Companies in Nizamabad

    1. Mee Seva Center Address: Vinayak Nagar Street, Vinayak Nagar, Nizamabad, Telangana 503230 Phone: 090105 89389 , Wesite: meeseva.indur.in/centres/nizamabad
 courses in Nizamabad
In different words, the primary decade of Indian planning does now no longer appear to have witnessed any tendency closer to convergence of profits degrees. ijcrt. The infrastructure required for enterprise improvement is properly developed. ijcrt. s . however it additionally has a sturdy informal effect at the monetary increase in India. There is a shiny scope for the following enterprise concepts. org © 2018 IJCRT | Volume 6, Issue 1 January 2018 | ISSN: 2320-2882 IJCRT1133856 International Journal of Creative Research Thoughts (IJCRT) www. a . org 777 length 1962-76, there was a regular growth withinside the inter-nation inequalities of profits in India.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer