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 Navan

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

  • 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 Navan
Data Science 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. 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. Experts provide immersive online instructor-led seminars. 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. 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. You'll have a personal mentor who will keep track of your development. 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. Cleaning and validating data to ensure that it is accurate and consistent. 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 Navan

  • AmbedakarBhavan,Navanagar | Location details: Sector 37, Sector 63A, Nava Nagar, Bagalkot, Karnataka 587103, India | Classification: City or town hall, City or town hall | Visit Online: | Contact Number (Helpline):
  • NavanagarPostOffice | Location details: Sector 4, Nava Nagar, Bagalkot, Karnataka 587103, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline):
  • Nuasoft | Location details: 15 Navan Rd, Ashtown, Dublin, Ireland | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline):
  • MutuallyWebDesign | Location details: Blackcastle Lodge, Blackcastle, Navan, Co. Meath, C15 CA38, Ireland | Classification: Website designer, Website designer | Visit Online: mutually.ie | Contact Number (Helpline): +353 87 780 2532
  • NavanagarPostOffice | Location details: 490, 13th Cross Rd, Navanagar, Hubli, Karnataka 580025, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 1800 11 2011
  • ICONCOMPUTERSALES&SERVICES | Location details: NavanagarRoad, Sector 4,Sector 63A,Nava Nagar , Karnataka 587102, Bagalkot, Karnataka 587102, India | Classification: Computer service, Computer service | Visit Online: | Contact Number (Helpline):
  • Hubli-DharawadPoliceCommissionerOffice | Location details: Navanagar, Hubli, Karnataka 580025, India | Classification: Police department, Police department | Visit Online: | Contact Number (Helpline):
  • PostOfficeKorkal | Location details: Korkal ,jangampally, Veenavanka, Telangana 505502, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • DTDCCourierMurariEnterprisesNavanagar | Location details: Shop no-01, Plot no-17D, Sector no-34 Opp Police Training School(Palace), Next to BATA Show room LIC to New Bus stand road, Nava Nagar, Bagalkot, Karnataka 5871 | Classification: Courier service, Courier service | Visit Online: dtdc.in | Contact Number (Helpline): +91 95383 66121
  • LowCostWebDesignInHyderabad|SonyWebs | Location details: Navanirman Nagar Colony, Film Nagar, Hyderabad, Telangana 500033, India | Classification: Website designer, Website designer | Visit Online: sonywebs.com | Contact Number (Helpline):
  • FlipkartOffice,Navanagar,Bagalkot | Location details: Unnamed Road, 587103, Sector 17, Sector 63A, Nava Nagar, Bagalkot, Karnataka 587103, India | Classification: Online share trading center, Online share trading center | Visit Online: | Contact Number (Helpline):
  • NavaniMarketing | Location details: Shop No.310, Gokhale St, Peranaidu Layout, Ram Nagar, Coimbatore, Tamil Nadu 641009, India | Classification: Company, Company | Visit Online: | Contact Number (Helpline): +91 98940 18018
  • RegionalTransportOfficeDharwad | Location details: Hubli - Dharwad Hwy, Navanagar, Dharwad, Karnataka 580001, India | Classification: Department of motor vehicles, Department of motor vehicles | Visit Online: | Contact Number (Helpline): +91 836 223 3929
  • MaxLifeInsuranceCo.Ltd. | Location details: Chandigarh Road, First Floor Happy Building, Shahid Bhagat Singh Nagar, Navanshehar, Punjab 144514, India | Classification: Insurance company banking banks loans finance insurance gold mortgage pledge, Insurance company banking banks loans finance insurance gold mortgage pledge | Visit Online: maxlifeinsurance.com | Contact Number (Helpline): +91 182 350 3900
  • NationalTrainingSolutions | Location details: Kells Rd, Whistlemount, Navan, Co. Meath, C15 FX6Y, Ireland | Classification: Training centre, Training centre | Visit Online: nationaltrainingsolutions.ie | Contact Number (Helpline): +353 46 901 2407
  • Webmakers|WebDesignAgency | Location details: Unit 1 Block A Navan Town Centre, Abbey Rd, Navan, Co. Meath, C15 YCY5, Ireland | Classification: Website designer, Website designer | Visit Online: webmakers.ie | Contact Number (Helpline): +353 46 906 0153
 courses in Navan
It carries the 27 km branch line from Drogheda to Navan and consists of seven semicircular masonry bends, which cross the swash and two highways. / John Boyle O’Reilly In the fanlight of one of the early 19th century houses on Academy Street, you can make out the word Moondyne. Drink to ‘ Points of Pride ’ a walking stint of Navan designed to showcase the stylish of Navan’s heritage, with reference to the city’s rich literal once and more recent developments. The city was utilised by the landed families of pastoral Meath although it didn't profit from any great patronage, as did the municipalities of Kells and Slane. The first chairman of the academy wasRev. Navan developed first as a request city and because it's a natural meeting point for North- South business. Now cross the junction at Academy Street and indirect Road at the rambler crossing. It's a festivity of the people, the armature and the culture of Navan. In recent times they've inspired pens and artists including Yeats, Synge, Lady Gregory and Louis le Broquy. It's likely that these legends began in the Iron Age, but they were first written down in the Early Christian period and survive in calligraphies of the 12th century and latterly.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer