Data Science Training by Experts

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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 Pune

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

  • 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 Pune
Data Science This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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. 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 Pune. 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. 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 Pune. . Effectively analyze both organized and unstructured data Create strategies to address company issues. 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. 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. 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 Pune

  • ArbutusConsultantsPvtLtd | Location details: Mega Center, J 507, Hadapsar, Pune, Maharashtra 411028, India | Classification: Consultant, Consultant | Visit Online: arbutusconsultants.com | Contact Number (Helpline): +91 20 2689 0141
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  • CompuCom | Location details: Level 2 Tower 4C •, Pune Saswad Rd, Phursungi IT Park, SP Infocity, Fursungi, Maharashtra 412308, India | Classification: Software company, Software company | Visit Online: compucom.com | Contact Number (Helpline): +91 20 6672 0100
  • VeronicaConsultants | Location details: 2/23, Gananjay Society, Chaitanya Nagar, Kothrud, Pune, Maharashtra 411029, India | Classification: Patent attorney, Patent attorney | Visit Online: | Contact Number (Helpline): +91 99235 60912
  • DNOSSolutions-SoftwareServices,TrainingAndCoWorkingInPune | Location details: Daily Needs Trade Center, S.No. 30/1/6, Plot No. 3, Balajinagar, Pune, Maharashtra 411043, India | Classification: Software company, Software company | Visit Online: dnos.in | Contact Number (Helpline): +91 94031 87621
  • TopDigitalMarketingAgencyInIndia | Location details: Vinyana Digital, Patel Complex, Office no 12 3rd Floor, Right, Paud Rd, Bhusari Colony, Kothrud, Pune, Maharashtra 411038, India | Classification: Internet marketing service, Internet marketing service | Visit Online: | Contact Number (Helpline):
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  • JnanaPrabodhiniPrashala | Location details: 510, Chhatrapati Sambhaji Maharaj Rd, Pantancha Gate, Sadashiv Peth, Pune, Maharashtra 411030, India | Classification: Social services organization , Social services organization | Visit Online: prashala.jnanaprabodhini.org | Contact Number (Helpline): +91 20 2420 7000
  • VodafoneStore | Location details: 42A, Lokmanya Bal Gangadhar Tilak Rd, Hirabaug, Shukrawar Peth, Pune, Maharashtra 411042, India | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: vodafone.in | Contact Number (Helpline): +91 98230 98230
  • WellcoatTech-NanoZincFlakeCoatingServicesInPune | Location details: Plot No.48 / A, Sector 7, PCNTDA, MIDC, Bhosari, Pune, Maharashtra 411026, India | Classification: Powder coating service, Powder coating service | Visit Online: wellcoatzincflakecoating.com | Contact Number (Helpline): +91 98500 71367
  • Parvatibai Genba Moze College of Engineering Address: Gate No. 2181, Wagholi, Pune, Maharashtra 412107 Phone: 020 2705 0937, website: www.pgmozecoepune.org
  • College of Military Engineering, Pune Address: 6, Old Mumbai Pune Hwy, Dapodi, Pimpri-Chinchwad, Maharashtra 411012 Phone: 020 2714 6560, website: www.admissionjankari.com/college...
  • Yobisys Solutions Pvt. Ltd. Address: Office No. 52,53, B-Wing, 3rd Floor, K.K. Market, Dhankawadi, Pune, Maharashtra 411030 Phone: 095520 55550, website: www.yobisys.com
  • Seo/Digital Marketing Companies in pune

    1. Ethon Technologies - SEO| Digital Marketing Company Pune Address: 403, 4th Floor, Above McDonald's, Rainbow Plaza, Pimple Saudagar, Pune, Maharashtra 411017 Phone: 097640 02287, website: www.ethonindia.com
    2. The Web Consultants - Best SEO & Digital Marketing Company in Pune,MH,India Address: Krushna Puja Apts,Flat No 1,Survey No 51, Opp Kinder Planet, Dhanori Road, Bhairav Nagar, Pune, Maharashtra 411015 Phone: 080878 97007, website: www.thewebconsultants.net
 courses in Pune
IT and schooling are the opposite dominant sectors that entice a huge populace of younger specialists to the town. The panorama of Pune District is shipped triangularly in Western Maharashtra on the foothills of the Sahyadri Mountains and is split into 3 parts: “Ghatmatha”, “Maval” and “Desh”. Other latest huge scale investments in Pune encompass a Food Cluster Development venture, aided through the World Bank, and an International Exhibition and Convention centre, set to open in 2017 Pune District is well-known from the ancient days because of the Great Maratha King Chh. Besides, it's miles well-known for its non secular and ancient places. Pune District has usually remained on the vanguard being a main supply of reformative mind and ideas in business, agricultural, social, monetary and political fields. except it, the software program enterprise has offer you with many call centers in Pune. The district has significance as an crucial army base. The using pressure for this increase is in particular the improvement of IT enterprise in addition to the monetary growth withinside the vehicle zone which forms a first-rate part of the industries in and round Pune. 1. located in near proximity to the monetary capital, Pune india is one of the maximum preferred activity locations.

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