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 Bhubaneswar

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

  • 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 Bhubaneswar
Data Science 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 Bhubaneswar. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. Create data strategies with the help of team members and leaders. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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 Bhubaneswar. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of 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.

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 Bhubaneswar

  • DescomInfotech-SEO,SMO,WebDesign&DevelopmentCompanyBhubaneswar|SoftwareCompanyBhubaneswar | Location details: GA 123, Neeladri Vihar, Chandrasekharpur, Bhubaneswar, Odisha 751021, India | Classification: Website designer, Website designer | Visit Online: descominfotech.com | Contact Number (Helpline):
  • SandeepPattanaik | Location details: MIG 44, kanan Vihar, Bhubaneswar, Odisha 751031, India | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline): +91 70644 05411
  • Algopage | Location details: Plot No - 1281, Jayadurga Nagar, Bomikhal, Jharapada, Bhubaneswar, Odisha 751006, India | Classification: Internet marketing service, Internet marketing service | Visit Online: algopage.com | Contact Number (Helpline): +91 93482 22048
  • HotelSamrat, | Location details: collector Office chowk Near S.p office NH 16,Khordha, Bhubaneswar, Odisha 752055, India | Classification: Restaurant, Restaurant | Visit Online: | Contact Number (Helpline): +91 90783 18358
  • Somudigital | Location details: 304, Sector-5, Neeladri Vihar, Chandrasekharpur, Bhubaneswar, Odisha 751021, India | Classification: Web hosting company, Web hosting company | Visit Online: somudigital.com | Contact Number (Helpline): +91 73810 78737
  • BBSRSERVICES | Location details: PLOT NO-1467, New Forest Park Road, 1472, 5th St, Bhubaneswar, Odisha 751009, India | Classification: Legal services, Legal services | Visit Online: | Contact Number (Helpline): +91 78094 77683
  • NISERPOSTOFFICE | Location details: NISER POST OFFICE, National Institute of Science Education and Research, Bhubaneswar, Odisha 751013, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline):
  • I-dreamSolutionsPvt.Ltd. | Location details: H.B Colony, Satya Nagar, Bhubaneswar, Odisha 751007, India | Classification: Software company, Software company | Visit Online: idreamsolution.com | Contact Number (Helpline): +91 674 257 9851
  • NetTantraTechnologies | Location details: GA-430, S.S. Vihar Road, Neeladri Vihar, Chandrasekharpur, Bhubaneswar, Odisha 751021, India | Classification: Software company, Software company | Visit Online: nettantra.com | Contact Number (Helpline): +91 77518 43477
  • NayapalliPostOfficeS.O. | Location details: Kalyan Mandap Ln, Nilakantha Nagar, Nayapalli, Bhubaneswar, Odisha 751012, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 674 256 5835
  • ManhocTechnologies | Location details: Plot No.78, Rasulgarh, Bhubaneswar, Odisha 751010, India | Classification: Software company, Software company | Visit Online: manhoc.com | Contact Number (Helpline): +91 98535 29602
  • VersatileITServicesPvt.Ltd. | Location details: Plot No. 77, Near St. Xaviers High School, Satya Nagar, Bhubaneswar, Odisha 751007, India | Classification: Software company, Software company | Visit Online: vits.in | Contact Number (Helpline): +91 94370 01233
  • NetMasters | Location details: N6/278 , IRC Village, Nayapalli, Bhubaneswar, Odisha 751015, India | Classification: Website designer, Website designer | Visit Online: netmasters.in | Contact Number (Helpline): +91 94380 00856
  • DPlumbingServices | Location details: Janla, Bhubaneswar, Odisha 752054, India | Classification: Plumber, Plumber | Visit Online: | Contact Number (Helpline):
  • KIITSubPostOffice | Location details: KIIT Road, near KIIT University, Bhubaneswar, Odisha 751024, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • Tempzsoft | Location details: Forest Colony, BDA Colony, Chandrasekharpur, Bhubaneswar, Odisha 751016, India | Classification: Web hosting company, Web hosting company | Visit Online: tempzsoft.com | Contact Number (Helpline): +91 94399 44313
  • College of Engineering and Technology, Bhubaneswar Address: Ghatikia, Kalinga Nagar, Bhubaneswar, Odisha 751003 Phone: 0674 238 6075https://www.cet.edu.in/
  • Apsys Technologies Address: M-42, Fire Station Square, Housing Board Colony, Baramunda, Bhubaneswar, Odisha 751003 Phone: 089174 695571 , Website: apsys.co.in/
  • WeTecho Solutions 4.412 Google reviews Internet marketing service in Bhubaneswar, India Address: Plot No - 164/397, Gajapati Nagar, Near Press Chhak, Bhubaneswar, Odisha 751005 Phone: 078738 795061 , Website: www.wetecho.com/
  • SEOPhalanx Address: 261,, N4, Block N4, IRC Village, Nayapalli, Bhubaneswar, Odisha 751015 Phone: 093375 550651 , Website: www.seophalanx.com/
  • Digital Webvision Address: Plot No 9, Genesis Villa, Near Patia Big Bazar, Bhubaneswar, Odisha 751024 Phone: 075045 275431 , Website: digitalwebvision.com/
 courses in Bhubaneswar
In the offerings area for instance, Indian IT corporations are getting into Orissa as historically desired locations turn out to be an increasing number of saturated. 7% of the populace (a few 38 million humans) and over five% of India`s terrible. Bhubaneswar is the capital of Orissa and a nearby hub. As a result, Orissa's in step with-capita income, which gradually fell at the back of the relaxation of the united states of america in the course of the beyond 5 decades, has started to catch up. Most STs stay in tiny villages or faraway habitations withinside the hills in which their geographical isolation underlies plenty in their poverty. The modern-day National Sample Survey facts display that rural households withinside the southern area of the kingdom - one of the poorest components of the united states of america with out the mineral deposits of the north - are actually spending up to twenty-five percentage extra on basic requirements like food, clothing, and training for his or her children, as compared to simply 5 years ago. This is fuelled, in part, via way of means of the upward thrust in global metallic prices. Private investments below implementation in Orissa now general about US$a hundred twenty five billion – which is set seven instances the kingdom's annual gross home product (GSDP). The percentage of families getting access to basic civic facilities inclusive of secure consuming water and power stays rather low as compared to the country wide common, aleven though there was substantial profits withinside the decade among 2001 and 2011. Unlike in lots of different Indian states, elections held in Spring 2004 again the incumbent Chief Minister and coalition in Orissa, for a 2nd time period that extends till 2008-09.

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