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 Noida

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

  • 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 Noida
Data Science Experts provide immersive online instructor-led seminars. You'll have a personal mentor who will keep track of your development. Cleaning and validating data to ensure that it is accurate and consistent. Effectively analyze both organized and unstructured data Create strategies to address company issues. . Create data strategies with the help of team members and leaders. 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. To find trends and patterns, use algorithms and modules. 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 Noida

  • ImmigrationExperts-MigrateToAustralia,CanadaAndNewZealandForPRAndStudy | Location details: ITHUM Towers, Office No. 403, 4th Floor Near Highway Towers Next to Corenthum, Sector 62, Noida, Uttar Pradesh 201309, India | Classification: Immigration attorney, Immigration attorney | Visit Online: immigrationxperts.com | Contact Number (Helpline): +91 84484 50100
  • WebsiteDesignInGreaterNoida|XpertWebTech| | Location details: Harsha mall, Alpha-I Commercial Belt, Block E, Alpha I, Greater Noida, Uttar Pradesh 201308, India | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline):
  • Dynata | Location details: Tower 7, Assotech Business Cresterra, Sector 135, Noida, Uttar Pradesh 201305, India | Classification: Market researcher, Market researcher | Visit Online: dynata.com | Contact Number (Helpline): +91 120 689 0611
  • RealWebixInfotechPvt.Ltd | Location details: D-205 Second Floor Sector 10, Noida, Uttar Pradesh 201301, India | Classification: Software company, Software company | Visit Online: realwebixinfotech.com | Contact Number (Helpline):
  • WebsiteDesignCompanyNoida-PST | Location details: Block B, Sector 3, Noida, Uttar Pradesh 201301, India | Classification: Website designer, Website designer | Visit Online: websitedesignnoida.com | Contact Number (Helpline): +91 99533 27284
  • ROIWebTech-SEOCompanyInNoida,BestSEOCompanyInGhaziabad,OffersBestSEOServices | Location details: Plot No. 89, Sector 13, Vasundhara, Ghaziabad, Uttar Pradesh 201012, India | Classification: Internet marketing service, Internet marketing service | Visit Online: | Contact Number (Helpline):
  • VMIT-WebsiteDesigningCompanyNoida | Location details: A-55 Ist Floor, Sector 16, Noida, Uttar Pradesh 201301, India | Classification: Web hosting company, Web hosting company | Visit Online: virtualmindinfotech.com | Contact Number (Helpline): +91 97181 27007
  • Brainguru | Location details: D-67, D Block, Sector 2, Noida, Uttar Pradesh 201301, India | Classification: Internet marketing service, Internet marketing service | Visit Online: brainguru.in | Contact Number (Helpline): +91 120 429 9500
  • FamousOnWeb-SEOFreelancer,SEOExpertInNoida,Delhi | Location details: Noida 22 Main Rd, Block I, Sector 22, Noida, Uttar Pradesh 201301, India | Classification: Internet marketing service, Internet marketing service | Visit Online: business.site | Contact Number (Helpline):
  • FranticInfotechPvtLtd | Location details: first floor, Neelkanth Plaza, Alpha-I Commercial Belt, Block F, Alpha I, Greater Noida, Uttar Pradesh 201310, India | Classification: Software company, Software company | Visit Online: frantic.in | Contact Number (Helpline): +91 120 411 1988
  • PlasmaSoftechNoida | Location details: B-151, First Floor, Sector 6, Noida, Uttar Pradesh 201301, India | Classification: Software company, Software company | Visit Online: plasmacomp.com | Contact Number (Helpline): +91 120 422 1135
  • SEOCompanyInNoidaDigitalMarketingAgencyNoida-SpreadDigital | Location details: Block A Noida Sector 16, near Metro Station, Sec 16, Uttar Pradesh 201301, India | Classification: Internet marketing service, Internet marketing service | Visit Online: spreadigital.com | Contact Number (Helpline):
  • SurgicalRoboticsMarket-BISResearch | Location details: Tapasya Corp Heights, First Floor, Sector 126, Noida-Greater,, Noida, Uttar Pradesh 201303, India | Classification: Market researcher, Market researcher | Visit Online: bisresearch.com | Contact Number (Helpline): +1 650-228-0182
  • StercoDigitex | Location details: C-120, C Block, Sector 2, Noida, Uttar Pradesh 201301, India | Classification: Website designer, Website designer | Visit Online: stercodigitex.com | Contact Number (Helpline): +91 120 485 7333
  • WebiculesTechnology | Location details: D-42, D Block, Sector 7, Noida, Uttar Pradesh 201301, India | Classification: Software company, Software company | Visit Online: webicules.com | Contact Number (Helpline): +91 120 416 2733
  • RubiMishra&Associates | Location details: Ground Floor, D - 186, D Block, Sector 10, Noida, Uttar Pradesh 201301, India | Classification: Accounting firm, Accounting firm | Visit Online: cmaatwork.com | Contact Number (Helpline):
  • Mg Infotech ,Noida Address: K Block, Sector 8, Noida, Uttar Pradesh 201301 Phone: 099717 16038 , Website: www.speedxinfotech.com/
  • Noida Institute of Engineering and Technology Address: 19, Knowledge Park-II, Institutional Area, Greater Noida, Uttar Pradesh 201306 Phone: 0120 232 8062 , Website: www.niet.co.in/
  • Birla Institute of Technology Address: A-7, A Block, Sector 1, Noida, Uttar Pradesh 201301 Phone: 0120 255 3661 , Website: https://bitmesra.ac.in/BIT_Mesra?cid=10&pid=H
  • Ocean Websoft Pvt limited Address: D-371, D Block, Sector 10, Noida, Uttar Pradesh 201301 Phone: 0120 422 2911 , Website: https://www.oceanwebsoft.com/
  • inoday - NetSuite Development Company Address: G 16, 2nd Floor, Sector-3, Noida, Uttar Pradesh 201301 Phone: +1 630-214-9700 , Website: inoday.com/
 courses in Noida
Apart from suitable delivery centers to hyperlink the brand new city with Delhi and different neighbouring cities together with Ghaziabad and Faridabad, it became envisaged that the inner delivery gadget for Noida might additionally be linked with the proposed Mass Rapid Transit System (MRTS) for Delhi The country Government has notified the complete place among river Hindon and Yamuma beneathneath NOIDA, overlaying about 20316 hectare land and eighty one villages. The Committee encouraged that the township must be deliberate for only 4,000 small-scale commercial gadgets, which might offer employment to approximately eighty,000 commercial people. After the preliminary years of its improvement, Noida has skilled a splendid development in its literacy fee, which became over eighty percentage in 2001. Therefore, a want for organising deliberate city centres withinside the near proximity of Delhi became felt to offer an opportunity webweb page for the deliberate improvement of small and medium size commercial gadgets functioning in unplanned and haphazard manner in and round Delhi and to forestall the speculative land dealings on this place. The controlling Authority of the newly declared Regulated Area taken into consideration diverse components of improvement of the Regulated Area however couldn't do a lot for the status quo of a brand new city centre. Regulation of Building Operations Act, 1958. Sub-Region remains beneathneath preparation. An Expert Committee became set-as much as formulate the right improvement strategy for the place. Accordingly, the layout populace of Noida became constant at the extent of five,00,000. P.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer