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 Aurangabad

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

  • 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 Aurangabad
Data Science Create data strategies with the help of team members and leaders. 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 Aurangabad. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. To find trends and patterns, use algorithms and modules. 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. 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. Effectively analyze both organized and unstructured data Create strategies to address company issues. 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 Aurangabad. .

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 Aurangabad

  • ImagicaInfotech-WebDesignAndDevelopmentCompanyAurangabad | Location details: 219, Samarth Nagar Rd, Above Union Bank, Chintamani Colony, Aurangabad, Maharashtra 431001, India | Classification: Website designer, Website designer | Visit Online: imagicainfotech.com | Contact Number (Helpline): +91 94043 33591
  • ImagicaInfotech-WebDesignAndDevelopmentCompanyAurangabad | Location details: 219, Samarth Nagar Rd, Above Union Bank, Chintamani Colony, Aurangabad, Maharashtra 431001, India | Classification: Website designer, Website designer | Visit Online: imagicainfotech.com | Contact Number (Helpline): +91 94043 33591
  • ETCS-WebDesignAurangabad|EcommerceWebsiteDevelopment&DesignCompany|MobileAppDevelopment|SEO|SMO|LibraryManagementSoftware(LMS)|Hospita | Location details: Railway Station M.I.D.C Near Ambika Mata Mandir, Beside Bagga Boring, Maharashtra 431005, India | Classification: Software company, Software company | Visit Online: etcspl.com | Contact Number (Helpline): +91 98232 73936
  • CBROZTraining,Research&Development | Location details: Shop No-8,14,15 Jay Towers, Ahilyabai Holkar Chowk, Padampura, Railway Station road, Aurangabad, Maharashtra 431005, India | Classification: Research foundation, Research foundation | Visit Online: cbroz.com | Contact Number (Helpline): +91 99709 79603
  • PixelFlamePvtLtd.|BestWebsiteDesigning|DigitalMarketing|SEO|AppDeveloping| | Location details: Nawadih, Phesar, Patna - Aurangabad Rd, Aurangabad, Bihar 824101, India | Classification: Website designer, Website designer | Visit Online: pixelflame.in | Contact Number (Helpline):
  • PostOfficeSihari | Location details: Fatehpur, Aurangabad, SH-7, Daudnagar Goh Road, Aurangabad, Aurangabad, Bihar 824115, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline):
  • ETCS-WebDesignAurangabad|EcommerceWebsiteDevelopment&DesignCompany|MobileAppDevelopment|SEO|SMO|LibraryManagementSoftware(LMS)|Hospita | Location details: Railway Station M.I.D.C Near Ambika Mata Mandir, Beside Bagga Boring, Maharashtra 431005, India | Classification: Software company, Software company | Visit Online: etcspl.com | Contact Number (Helpline): +91 98232 73936
  • J-InformaticsSoftwarePvt.Ltd. | Location details: 431003 plot no 23 N-5, Shree nagar, Cidco, Aurangabad, Maharashtra 431003, India | Classification: Website designer, Website designer | Visit Online: jinformatics.com | Contact Number (Helpline): +91 97640 57226
  • KSoftSolution | Location details: 26, 2nd Floor, Software Technology Parks of India, MIDC Industrial Area, Aurangabad, Maharashtra 431 | Classification: Website designer, Website designer | Visit Online: ksoftsolution.com | Contact Number (Helpline): +91 97654 12319
  • CIIGMAHealthFoundation | Location details: Plot No. 6/7, Shahnoorwadi, Dargah Road, Aurangabad, Maharashtra 431005, India | Classification: Foundation, Foundation | Visit Online: ciigmahealthfoundation.in | Contact Number (Helpline): +91 98226 61443
  • ChhabghatiPostOffice | Location details: Chhabghati, Aurangabad, West Bengal 742201, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • VidyanagariPostOffice | Location details: Vidyanagari, Dhule Taluk, Aurangabad Divison, Dhule, Maharashtra 424005, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 2562 271 466
  • KSoftSolution | Location details: 26, 2nd Floor, Software Technology Parks of India, MIDC Industrial Area, Aurangabad, Maharashtra 431 | Classification: Website designer, Website designer | Visit Online: ksoftsolution.com | Contact Number (Helpline): +91 97654 12319
  • AurangabadPostOffice | Location details: taluk, Murshidabad, West Bengal 742201, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline):
  • DIVYAPARIWARTANCOMPUTERSMKCLALC | Location details: WAGH TOWER,SAMBHAJI CHOWK, Begumpura, Aurangabad, Maharashtra 431004, India | Classification: Training centre, Training centre | Visit Online: mkcl.org | Contact Number (Helpline): +91 95452 59004
  • J-InformaticsSoftwarePvt.Ltd. | Location details: 431003 plot no 23 N-5, Shree nagar, Cidco, Aurangabad, Maharashtra 431003, India | Classification: Website designer, Website designer | Visit Online: jinformatics.com | Contact Number (Helpline): +91 97640 57226
  • Tnex Solutions Address: H No. 8-19-20, Near, Azad Chowk Rd, Altamash Colony, N-6, Cidco, Aurangabad, Maharashtra 431003 Phone: 094058 11438 , Website: tnexsolutions.com/
  • Deogiri Institute of Engineering and Management Studies Address: Doctor Bhapkar Marg, Railway Station Road, New Usmanpura, Snehnagar, Konkanwadi, Aurangabad, Maharashtra 431005 Phone: 0240 236 7575 , Website: https://www.dietms.org/
  • Shreeyash College Of Engineering & Technology Address: Gut no.258, Satara Tanda, Near SRPF Camp, Aurangabad, Maharashtra 431005 Phone: 0240 660 8701 , Website: sycet.org/
  • Strides Software Solutions Address: T21/2, STPI, MIDC Chikalthana, Aurangabad, Maharashtra 431210 Phone: 0240 248 8583 , Website: www.stridessoftware.com/
  • SEO / Digital Marketing Companies in Aurangabad

    1. Digital Marketing by Rohit-Digital Marketing Company, Consultant, SEO Expert, Address: Eknath Rang Mandir Rd, New Usmanpura, Aurangabad, Maharashtra 431005 Phone: 091300 86000 , Website: www.digitalmarketingbyrohit.com/about/
 courses in Aurangabad
In the decade of 1980, Aurangabad recorded utmost rapid-fire urbanization in Asia. Fatehkhan, the son of Malik Ambar, named kharki as Fatehnagar after the demise of Malik Ambar. The Buddhist grottoes of Ajanta and Elora, Shiva tabernacle of Ghrushneshwara( one of the 12 jyotirlingas), notorious pilgrim center of Paithan, and world notoriousmini-Taj Mahal, the Bibi- ka- Makbara, located in the megacity are some of the crucial sightseer lodestones . After Chikalthana artificial estate, Aurangabad was awarded with another artificial area on the Aurnagabad- Pune road near Walunj vill. In 1724 Aurangabad was ruled by Nizam- Ul- Mulk and latterly the capital of the Nizam was shifted to Hyderabad. Walunj has a attention of diligence involved in the manufacture of motorcars, consumer products, power and telecom products and drugs. originally the city entered its water force from springs or wells, connected with small underground masonry pipes. During the British period, Aurangabad remained under the kingly state of Hyderabad under Nizam Shah. This eased trade development in Aurangabad over the last many centuries. In 1958, Marathwada University was established in Aurangabad, which was latterlyre-named asDr.

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