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 Bellary

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

  • 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 Bellary
Data Science To find trends and patterns, use algorithms and modules. 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 Bellary. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. 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. You'll have a personal mentor who will keep track of your development. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. Create data strategies with the help of team members and leaders. 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. 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 Bellary

  • BjpOfficeBellary | Location details: KHB Colony, Parvathi Nagar, Ballari, Karnataka 583103, India | Classification: Political party, Political party | Visit Online: | Contact Number (Helpline):
  • HubballiHeadPostOffice | Location details: Bellary - Hubli Rd, J C Nagar, New Hubli, Hubali-Dharwad, Karnataka 580020, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline): +91 836 222 1602
  • Computer&LaptopChiplevelServiceRepairInBellary | Location details: 1st floor ,old bus stand opposite bellary landmark :mayura hotel, Karnataka 583101, India | Classification: Computer repair service, Computer repair service | Visit Online: bigq.in | Contact Number (Helpline):
  • ReliancePetroleum | Location details: Aladahalli, Bellary, NH-63, Bellary Hubli Road, Bellary, Ballari, Karnataka 583102, India | Classification: Gas station, Gas station | Visit Online: reliancepetroleum.com | Contact Number (Helpline):
  • KPCL-BellaryThermalPowerStation | Location details: Ballari, Karnataka 583152, India | Classification: Thermal energy company, Thermal energy company | Visit Online: karnatakapower.com | Contact Number (Helpline): +91 83922 88608
  • MarutiAirCouriers&CargoPvt.Ltd. | Location details: PRIYA COMPLEX NO 29/C, OPP.HOTEL HOYSALA ANANTHPUR ROAD,BELLARY, Ballari, Karnataka 583101, India | Classification: Transcription service, Transcription service | Visit Online: marutiair.com | Contact Number (Helpline): +91 83922 76825
  • IndiaPostOffice | Location details: Emmiganur, Bellary, SH-132, Kudatini Haraginadoni Bellary Moka Road, Bellary, Bellary, Karnataka 583116, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 91642 78771
  • ManappuramFinanceLtd | Location details: Bruespet Bellary, Building No. 5/220/1.2.3.4/Assment No. 3464/3465, JVS Comple, Ballari, Karnataka 583101, India | Classification: Accounting firm, Accounting firm | Visit Online: | Contact Number (Helpline): +91 89222 35477
  • AlbertsonsInternationalPvtLtd.Bellary. | Location details: Satya Narayana Pet, Ballari, Karnataka 583101, India | Classification: District office, District office | Visit Online: | Contact Number (Helpline):
  • KyathiClimateModificationConsultantsLLP | Location details: #6/6/2, ‘Kyathi Commercio’, 3rd Floor, Yashoda Nagara, Jakkur Plantation Opp: Jakkur Flying School Bellary Road, Bengaluru, Karnataka 560064, India | Classification: Aviation consultant, Aviation consultant | Visit Online: | Contact Number (Helpline): +91 80 2856 2224
  • DHL-BlueDartBellary | Location details: 2nd Cross Rd, KHB Colony, Gandhi Nagar, Ballari, Karnataka 583103, India | Classification: Courier service, Courier service | Visit Online: bluedart.com | Contact Number (Helpline):
  • RTOOffice | Location details: Bellary Hospet Road, Cantonment, Ballari, Karnataka 583103, India | Classification: Department of motor vehicles, Department of motor vehicles | Visit Online: | Contact Number (Helpline): +91 83922 40048
  • BellaryComputer&Services | Location details: Ediga Hostel Complex, Road, Doubleo Rd, Bangalore Rd, Ballari, Karnataka 583101, India | Classification: Computer repair service, Computer repair service | Visit Online: seeglobal.in | Contact Number (Helpline): +91 99860 15551
  • CanonAuthorisedServiceCentreBellary | Location details: 1st Floor, above i care laptop world, Infantry Road, beside UCO Bank, Ballari, Karnataka 583104, India | Classification: Printer repair service, Printer repair service | Visit Online: business.site | Contact Number (Helpline):
  • RpMinesOffice | Location details: Bellary Rd, MVS Area, Siddah Lingappa Chowki, Hosapete, Karnataka 583201, India | Classification: Mining company, Mining company | Visit Online: | Contact Number (Helpline): +91 83942 65700
  • BSNLCSCBellary | Location details: Bellary - Uravakonda - Anantapur Rd, BSNL Colony, Cowl Bazaar, Ballari, Karnataka 583101, India | Classification: Telecommunications service provider, Telecommunications service provider | Visit Online: karnataka.bsnl.co.in | Contact Number (Helpline): +91 83922 76106
  • IT Training Institute / Engineering College in Bellary

    1. Ballari Institute Of Technology and Management, Ballari, Karnataka Address: Ballari, Karnataka 583102 Phone: 087654 23910 , Website: www.bitm.edu.in/
    2. Rao Bahadur Y Mahabaleswarappa Engineering College Address: Cantonment Bellary, Karnataka 583104 Phone: 083922 44809 , Website: www.rymec.in/
    3. Rao Bahadur Y Mahabaleswarappa Engineering College Address: Cantonment Bellary, Karnataka 583104 Phone: 083922 44809 , Website: www.rymec.in/
    4. TechDwel Address: Cowl Bazaar, Ballari, Karnataka 583101 Phone: 099000 21027 , Website: https://techdwel.com/bellary/android-apps-development/
    5. Amar Math Address: Ramanjaneya Nagar, Ballari, Karnataka 583102 Phone: 097424 46699 , Website: ballari.listcompanies.in/other/amar-math-ballari/
 courses in Bellary
The British used Bellary Jail to indurate its notorious culprits. The Bellary quarter isn't entirely hilly or rocky. . of Steel Units are coming up in Hospet & Koppal Area. The rocky clods and knolls are bestrew around far and wide in utmost corridor of the quarter. The quarter was before in Rayalseema of Madras and it befittingly resembles Rayalseema, meaning gemstone land. The swash Krishna is a significant swash of the Indian Peninsula across, which major battles have been fought through the history of India. All streamlets join Tungabhadra, except the last bone that joins Hagari swash, which too ultimately joins Tungabhadra before Tungabhadra passes out of the quarter. The Bellary quarter takes its name from the word Belari which refers to goddess Durugamma as this goddess had manifested herself in the city. During the first half of 14th century the region came under constant trouble from northern Muslim raiders.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer