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
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20+
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25+

Data Science Jobs in Mumbai

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

  • 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 Mumbai
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. 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. Experts provide immersive online instructor-led seminars. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. Cleaning and validating data to ensure that it is accurate and consistent. You'll have a personal mentor who will keep track of your development. 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 Mumbai. 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 Mumbai.

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 Mumbai

  • MCTA-DigitalMarketingAndDataScienceCoursesInVashi,NaviMumbai | Location details: 707 Haware Infotech Park Sector 30A, Plot No. 39, near Inorbit Mall, Vashi, Navi Mumbai, Maharashtra 400703, India | Classification: Training centre , Training centre | Visit Online: mcta.co.in | Contact Number (Helpline):
  • VahalPostOffice | Location details: RAJMAN RAMDAM, Vahal Gaothan, Ulwe, Navi Mumbai, Maharashtra 410206, India | Classification: Post office, Post office | Visit Online: postoffices.co.in | Contact Number (Helpline): +91 22 2746 9214
  • CementPlantConsultingServicesInMumbai|TechcemDesignEngineeringConsultant | Location details: Railway Station, TECHCEM Consulting and Engineering Pvt. Ltd. G-215, CBD Belapur, Navi Mumbai, Maharashtra 400614, India | Classification: Engineering consultant, Engineering consultant | Visit Online: techcem.net | Contact Number (Helpline): +91 98921 89804
  • OnidaWashingMachineServiceCenterInMumbai | Location details: 2, Mukund Patil Gali, Dawood Baug, Fish Market Area, Navneeth Colony, Andheri West, Mumbai, Maharashtra 400058, India | Classification: Appliance repair service, Appliance repair service | Visit Online: onidawashingmachineservice.com | Contact Number (Helpline):
  • HolisticMediaAgency|DigitalMarketingAgencyInMumbai | Location details: Bail Bazar, Parab chal, Wadiya Estate , in front of A block Building, Kurla (W, Mumbai, Maharashtra 400070, India | Classification: Internet marketing service, Internet marketing service | Visit Online: holisticmediaagency.com | Contact Number (Helpline): +91 79728 28861
  • LIPSINDIA-DigitalMarketingCourseTrainingThane | Location details: 302, 3rd Floor, Malhar Building, Opposite Gaondevi Temple, Dada Patil Wadi, Naupada, Thane West, Mumbai, Maharashtra 400602, India | Classification: Training centre , Training centre | Visit Online: lipsindia.com | Contact Number (Helpline): +91 98332 01820
  • HP | Location details: HP Laptop Service Center, Khokha Bazar, Chippi Chawl, Kalbadevi, Mumbai, Maharashtra 400003, India | Classification: Computer consultant, Computer consultant | Visit Online: support.hp.com | Contact Number (Helpline):
  • AscentWorldISOConsultantMumbai | Location details: Flat No. 002, Tirupati Kripa, Opp MCF Joggers Park, Off. Eksar Road, Boriveli West, Mumbai, Maharashtra 400092, India | Classification: Business management consultant, Business management consultant | Visit Online: ascentworld.com | Contact Number (Helpline): +91 22 6517 6765
  • ColumbusShipManagementPrivateLimited | Location details: 1A & 1B Monghi Niwas, 1st Floor , 17, Police Ct Ln, Borabazar Precinct, Ballard Estate, Fort, Mumbai, Maharashtra 400001, India | Classification: Shipping company, Shipping company | Visit Online: | Contact Number (Helpline): +91 22 2267 5786
  • Ms.BharatiWebDesignerMumbaiMiraRoadAndNorthGoa | Location details: Sector 8, Amrit, Shanti Nagar, Mira Road, Maharashtra 401107, India | Classification: Website designer, Website designer | Visit Online: webwidecreation.com | Contact Number (Helpline): +91 99303 20736
  • WebDesignCompany | Location details: Mysore Colony, Chembur, Mumbai, Maharashtra 400074, India | Classification: Website designer, Website designer | Visit Online: | Contact Number (Helpline):
  • WebsiteDesignNaviMumbai | Location details: Olive Complex, Shop No. 10A,Plot No.44,Sector-42, Seawoods, Navi Mumbai, Maharashtra 400706, India | Classification: Website designer, Website designer | Visit Online: webcompletesolutions.com | Contact Number (Helpline):
  • PacificShippingPrivateLimited | Location details: 132-c, Mittal Court, Nariman Point, Nariman Point, Mumbai, Maharashtra 400021, India | Classification: Shipping company, Shipping company | Visit Online: pacificship.com | Contact Number (Helpline): +91 22 2283 5034
  • GANGAREYENATION-Dadar | Location details: Empire Mahal, 806, Dr Baba Saheb Ambedkar Rd, Dadar TT, Dadar East, Circle, Mumbai, Maharashtra 400014, India | Classification: Optician, Optician | Visit Online: gangareyenation.com | Contact Number (Helpline): +91 22 2412 0262
  • NextechWeb-WebsiteDesign&DevelopmentCompanyInNaviMumbai,Mumbai | Location details: Sector 30A, Vashi, Navi Mumbai, Maharashtra 400703, India | Classification: Website designer, Website designer | Visit Online: nextechweb.in | Contact Number (Helpline): +91 70452 29040
  • MGheewala | Location details: Off. No. 202 - 2nd Floor, Bombay Market, Tardeo Rd, Tardeo, Mumbai, Maharashtra 400034, India | Classification: Human resource consulting, Human resource consulting | Visit Online: mgheewala.com | Contact Number (Helpline): +91 22 6166 6555
  • K. J. Somaiya College of Engineering Address: Vidyanagar, Vidya Vihar East, Vidyavihar, Mumbai, Maharashtra 400077 Phone: 022 6644 9191, website:www.somaiya.edu
  • Software Companies in Mumbai

    1. Simplified Software Solutions India Address: A 501, Maitri Residency, Liberty Garden Raad No.1,, Opposite UCO Bank, Malad West, Mumbai, Maharashtra 400064 Phone: 098702 95810, website:smarts3.in
    2. SYMCO SOFTWARE PVT. LTD. Address: 165, Shivshakti Estate, Opp.Mittal Estate, Sir.M.V.Road,, Andheri(E), Mumbai, Maharashtra 400059 Phone: 022 2850 4039, website:www.symcoplus.com
    3. Suchan Software Pvt. Ltd. Address: 304, Bhaveshwar Complex, Vidhyavihar(W), Maharashtra, Mumbai, 400086 Phone: 022 2513 3815, website:www.suchansoftware.com
    4. Ally Digital Media Address: 322, Ijmima Complex, Behind Infiniti Mall,, Link Road, Malad West, Mumbai, Maharashtra 400064 Phone: 097735 06825, website:www.allydigitalmedia.com
 courses in Mumbai
The rapid-fire rate of growth of population, made possible by the adding artificial and marketable significance of the megacity, redounded in a fast deterioration in the quality of life for the maturity of people living in the megacity. These bumps are passing major infrastructural developments due to their propinquity to the proposed Navi Mumbai International Airport. These bumps are named Airoli, Ghansoli, Kopar Khairane, Juhu Nagar, Vashi, Sanpada, Nerul, CBD Belapur, Kharghar, Kamothe, New Panvel, Kalamboli, Ulwe, Dronagiri, Taloja, Karanjade. The group felt that the ground would accelerate development across the Creek, relieve pressure on the megacity’s railroads and highways, and draw down artificial and domestic attention eastward to the landmass. Navi Mumbai( IPANavīMumba'ī) is a planned megacity off the west seacoast of the Indian state of Maharashtra in Konkan division. 970 millions in 1971, registering40. originally there wasn't important response to the new megacity. intimately possessed land conforming of 86 townlets covering,954 hectares (,420 acres) within the present limits of Navi Mumbai and farther townlets measuring an fresh,870 hectares(,100 acres) were acquired by the government of Maharashtra. Regional Planners as well as special pl anning authority have applied their full moxie to give the stylish physical terrain to this megacity. K.

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