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 Thanjavur

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

  • 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 Thanjavur
Data Science 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 Thanjavur. 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 Thanjavur. You'll have a personal mentor who will keep track of your development. Identify and collect data from data sources. 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. Create data strategies with the help of team members and leaders. 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. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights.

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 Thanjavur

  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • GuidesIndia|WebDesignersInThanjavur|Hosting|SeoCompany|WebDesignersInTamilnadu | Location details: 3/12, south street, narasingamangalam, Melattur, 614301, India | Classification: Web Designer, Web Designer | Visit Online: guidesindia.in | Contact Number (Helpline):
  • GuidesIndia|WebDesignersInThanjavur|Hosting|SeoCompany|WebDesignersInTamilnadu | Location details: 3/12, south street, narasingamangalam, Melattur, 614301, India | Classification: Web Designer, Web Designer | Visit Online: guidesindia.in | Contact Number (Helpline):
  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • GuidesIndia|WebDesignersInThanjavur|Hosting|SeoCompany|WebDesignersInTamilnadu | Location details: 3/12, south street, narasingamangalam, Melattur, 614301, India | Classification: Web Designer, Web Designer | Visit Online: guidesindia.in | Contact Number (Helpline):
  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • GuidesIndia|WebDesignersInThanjavur|Hosting|SeoCompany|WebDesignersInTamilnadu | Location details: 3/12, south street, narasingamangalam, Melattur, 614301, India | Classification: Web Designer, Web Designer | Visit Online: guidesindia.in | Contact Number (Helpline):
  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • GuidesIndia|WebDesignersInThanjavur|Hosting|SeoCompany|WebDesignersInTamilnadu | Location details: 3/12, south street, narasingamangalam, Melattur, 614301, India | Classification: Web Designer, Web Designer | Visit Online: guidesindia.in | Contact Number (Helpline):
  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • KvConsultants | Location details: Shivaji Nagar, Membalam, Thanjavur, Tamil Nadu 613007, India | Classification: Consultant, Consultant | Visit Online: | Contact Number (Helpline): +91 94439 57303
  • YOGA'SITSolutions|WebDesigning&Hosting | Location details: Mercy Palace, No. 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006, India | Classification: Web Designer, Web Designer | Visit Online: yogasgroup.org | Contact Number (Helpline): +91 98942 34199
  • GuidesIndia|WebDesignersInThanjavur|Hosting|SeoCompany|WebDesignersInTamilnadu | Location details: 3/12, south street, narasingamangalam, Melattur, 614301, India | Classification: Web Designer, Web Designer | Visit Online: guidesindia.in | Contact Number (Helpline):
  • Web Development Companies in Thanjavur

    1. YOGA'S IT Solutions | Web Designing & Hosting Address: Mercy Palace, # 7, 2nd Street, Anna Nagar, Villar Road, Thanjavur, Tamil Nadu 613006 Phone: 098942 34199 , website:yogasgroup.org/
    2. Sri Sai Associates Address: Lakshmi Nagar, New Housing Unit, Thanjavur, Tamil Nadu 613007 Phone: 04362 228 733 , website:https://www.indiamart.com/srisai-associates-thanjavur/aboutus.html
    3. Guides India | Web Designing & Hosting Address: Shop No.7, Praha Complex, Sundaram Nagar,, Medical College Road, Thanjavur, Tamil Nadu 613001 Phone: 098436 90082 , website:www.agasoft.co.in/
    4. Government Industrial Training Institute Address: New Bus Stand Road, Nirmala Nagar Residential Area, Thanjavur, Tamil Nadu 613007 Phone: 088079 36019 , website:https://www.youngbuzz.com/.../government-industrial-training-instit...

    Software Companies in Thanjavur

    1. Cdata Software Technologies Address: No.91, 5th Street, ParisuthamNagar, Thanjavur, Tamil Nadu 613007 Phone: 04362 255 476 , website:https://www.indiamart.com/cdata-software/profile.html
 courses in Thanjavur
Indian Institute of Crop Processing Technology, Thanjavur 2. 14 Fishing additionally contributes to the economic system of the district aleven though the district economic system is predominantly agrarian. Tourism additionally performs an vital position because the district is the home location of temples, homes and monuments of ancient importance. Administrative set - up Thanjavur District include Three Revenue Divisions viz, Thanjavur, Kumbakonam and Pattukottai, Nine Taluks viz, Thanjavur, Budalur, Thiruvaiyaru, Papanasam, Kumbakonam, Thiruvidaimarudur, Orathanadu, Pattukottai and Peravurani. Meantime in 1798 a percent changed into signed between the English and the Maratha and the ruler of the Thanjavur changed into allowed to hold the citadelress of Thanjavur handiest with restricted energy of administration. Since It`s formation , the district is known as because the “Rice bowl of Tamilnadu”. Agricultural Research Institutions withinside the District 1. The dam Kallanai, constructed with the aid of using the Chola King Karikalan has stood the wear and tear and tear of nature for loads of years and is one instance of the Cholas architectural strength. Thanjavur District has 50 Firkas, 906 Revenue villages. Agricultural Resources and Irrigation Agriculture is still the maximum important zone of this district economic system and Thanjavur being the most district of the Cauvery delta and occupies an vital function withinside the agricultural map of Tamilnadu, 70% populace is engaged in Agricultural and allied sports of their livelihood.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer