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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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Data Science Jobs in Chicago

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

  • 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 Chicago
Data Science Effectively analyze both organized and unstructured data Create strategies to address company issues. 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 Chicago. . 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. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. Cleaning and validating data to ensure that it is accurate and consistent. There are numerous reasons why you should take this course. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. 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.

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 Chicago

  • ChicagoTrainingCenter | Location details: Al Matna Flex Building. # 11, Near Shoprite Supermarket, Doha, Qatar | Classification: Education center, Education center | Visit Online: chicagotcs-qatar.business.site | Contact Number (Helpline): +974 4467 0471
  • TonyAndTonyManagementConsultantsPvt.Ltd. | Location details: 5th Floor, Chicago Towers, Ikkanda Warrier Road, near Malayala Manorama, Thrissur, Kerala 680001, India | Classification: Business management consultant, Business management consultant | Visit Online: tonyandtony.com | Contact Number (Helpline): +91 487 242 2448
  • EmpireBuilders | Location details: First Floor, Chicago Plaza, Rajaji Rd, Ernakulam, Kerala 682035, India | Classification: Construction company consultant architect civil engineering construction structured building builders, Construction company consultant architect civil engineering construction structured building builders | Visit Online: empirebuilders.in | Contact Number (Helpline): +91 484 237 4440
  • ComputerTrainingSource,Inc | Location details: 420 N Wabash Ave #203, Chicago, IL 60611, United States | Classification: Computer training school, Computer training school | Visit Online: ctstraining.com | Contact Number (Helpline): +1 312-923-2100
  • HDFCERGOGeneralInsuranceCompanyLimited | Location details: 2nd floor, chicago plaza, Rajaji Road Near KSRTC bus stand, Kochi, Kerala 682004, India | Classification: Insurance company banking banks loans finance insurance gold mortgage pledge, Insurance company banking banks loans finance insurance gold mortgage pledge | Visit Online: hdfcergo.com | Contact Number (Helpline): +91 484 406 6702
  • ChicagoConstructionsInternationalPVTLTD. | Location details: TC 22, 2703, Chithira Ln, Sasthamangalam, Thiruvananthapuram, Kerala 695010, India | Classification: Construction company consultant architect civil engineering construction structured building builders, Construction company consultant architect civil engineering construction structured building builders | Visit Online: chicagoconstructions.in | Contact Number (Helpline): +91 471 231 1906
  • HDFCERGOGeneralInsuranceCompanyLimited | Location details: 2nd floor, chicago plaza, Rajaji Road Near KSRTC bus stand, Kochi, Kerala 682004, India | Classification: Insurance company banking banks loans finance insurance gold mortgage pledge, Insurance company banking banks loans finance insurance gold mortgage pledge | Visit Online: hdfcergo.com | Contact Number (Helpline): +91 484 406 6702
  • EmpireBuilders | Location details: First Floor, Chicago Plaza, Rajaji Rd, Ernakulam, Kerala 682035, India | Classification: Construction company consultant architect civil engineering construction structured building builders, Construction company consultant architect civil engineering construction structured building builders | Visit Online: empirebuilders.in | Contact Number (Helpline): +91 484 237 4440
 courses in Chicago
Now the 1/3 biggest town withinside the United States, it's miles diagnosed for its monetary district, fantastic skyline, famend architecture, and internationally-acclaimed parks, museums, and cultural institutions. Sewers dumped waste into the Chicago River, which emptied into Lake Michigan, supply of the town`s ingesting water, main to devastating cholera and typhoid epidemics. — One of the maximum essential years withinside the younger town`s history, 1848, added Chicago`s first telegraph connection, the outlet of the primary rail hyperlink, of of entirety of the a hundred-mile Illinois and Michigan Canal, and the founding of the Chicago Board of Trade to regulate the developing grain trade. — Once well-known in particular for stockyards and metallic mills, Chicago now boasts greater foremost fivestar eating places than another town withinside the United States and has been voted via way of means of diverse courses as one of the “Top 10 U. The unmarried cataclysmic occasion that shaped the destiny of the town become the Great Chicago Fire of 1871, which began out withinside the barn of an Irish immigrant own circle of relatives named O`Leary. But it become now no longer till a century later that Jean Baptiste du Sable, a fur dealer of French-African descent, established a everlasting agreement that could eventually emerge as the town of Chicago. Because the town become constructed on a flat swampy plain, spring muds had been so deep that horses` legs have become caught withinside the streets. The new canal doubled as the primary delivery route, replacing the antique Illinois and Michigan Canal. — Amid the devastation and despair, Chicagoans noticed an possibility to redecorate and increase their town. By the flip of the 20th century, the a hundred groups withinside the stockyards hired 30,000 workers.

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