Data Science Training by Experts

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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
10000+
20+
50+
25+

Data Science Jobs in Malappuram

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

  • 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 Malappuram
Data Science Cleaning and validating data to ensure that it is accurate and consistent. Identify and collect data from data sources. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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 Malappuram. Effectively analyze both organized and unstructured data Create strategies to address company issues. You'll have a personal mentor who will keep track of your development. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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 finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science.

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 Malappuram

  • SuperCarz-UsedLuxuryCarsInMalappuramCalicutLuxuryCarForSaleInMalappuramCalicut | Location details: Kozhikode - Palakkad Hwy, Machingal, Kavumpuram, Melmuri, Malappuram, Kerala 676505, India | Classification: Used car dealer, Used car dealer | Visit Online: | Contact Number (Helpline): +91 99470 30709
  • WebMediaWebDesigning|WebsiteDesign#1WebsiteDevelopment|WebDesigningKottakkalMalappuramKerala|WebDesignerWebsiteIndia(2019). | Location details: Kottakkal – Vengara Rd, Kottakkal, Kerala 676503, India | Classification: Website designer, Website designer | Visit Online: webmediaad.in | Contact Number (Helpline): +91 94468 00003
  • A.M.MOTORS,TrueValue | Location details: Kozhikode - Palakkad Hwy, Machingal, Melmuri, Malappuram, Kerala 676519, India | Classification: Used car dealer, Used car dealer | Visit Online: ammotors.in | Contact Number (Helpline): +91 96339 99777
  • ClassicHyundaiMalappuram | Location details: NH Road, Machingal, Melmuri, Malappuram, Kerala 676517, India | Classification: Hyundai dealer, Hyundai dealer | Visit Online: classic.hyundaimotor.in | Contact Number (Helpline): +91 85470 01301
  • BakeWellBakery | Location details: Kizhakkethala, Down Hill, Malappuram, Kerala 676505, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline): +91 96566 55333
  • APCOHondaCars | Location details: Konompara, Melmuri, Malappuram, Kerala 676519, India | Classification: Car dealer, Car dealer | Visit Online: | Contact Number (Helpline): +91 81118 88332
  • ThazaBakery&Coolbar | Location details: Down Hill, Malappuram, Kerala 676505, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline):
  • PopularVehicles&ServicesPvtLtd | Location details: KKM Complex, calicut road, konompara, Kozhikode - Palakkad Hwy, Melmuri, Malappuram, Kerala 676505, India | Classification: Motor vehicle dealer, Motor vehicle dealer | Visit Online: popularmaruti.com | Contact Number (Helpline): +91 80860 98972
  • MahindraFirstChoiceWheels-AlinshaMotors | Location details: Calicut Road,Panagangara,, Malappuram Dt.Kerala State, Malappuram, Kerala 673635, India | Classification: Car dealer, Car dealer | Visit Online: mahindrafirstchoice.com | Contact Number (Helpline): +91 98463 34121
  • MANGATTILSUZUKI | Location details: Kozhikode - Palakkad Hwy, Konompara, Kavumpuram, Melmuri, Malappuram, Kerala 676517, India | Classification: Motorcycle dealer, Motorcycle dealer | Visit Online: suzukimotorcycle.co.in | Contact Number (Helpline): +91 93498 00600
  • VolkswagenMalappuram | Location details: KP-XV\238A P.O, NH966, Koottilangadi, Kerala 676507, India | Classification: Volkswagen dealer, Volkswagen dealer | Visit Online: vw-phoenix.co.in | Contact Number (Helpline): +91 92077 22027
  • Envara | Location details: Malappuram, Parappanangadi, Kerala 676303, India | Classification: Website designer, Website designer | Visit Online: envara.in | Contact Number (Helpline): +91 80890 22005
  • TATAMotors,PopularMegaMotors,Manjeri,Malappuram | Location details: SH28, Pattarkulam, Manjeri, Kerala 676122, India | Classification: Motor vehicle dealer, Motor vehicle dealer | Visit Online: tatamotors.com | Contact Number (Helpline):
  • UnirideHonda | Location details: Kizhakkethala, Jn, Down Hill, Malappuram, Kerala 676519, India | Classification: Honda dealer, Honda dealer | Visit Online: uniridehonda.com | Contact Number (Helpline): +91 96335 55000
  • HonestBakery | Location details: Kizhakkethala, Down Hill, Malappuram, Kerala 676505, India | Classification: Bakery, Bakery | Visit Online: | Contact Number (Helpline):
  • SodaFood+Drinks | Location details: SH 71, Down Hill, Malappuram, Kerala 676505, India | Classification: Cafe, Cafe | Visit Online: | Contact Number (Helpline): +91 96053 40006
  • Envara Address: Malappuram, Parappanangadi, Kerala 676303 mobile: 080890 22005, website:envara.in
  • Government College Malappuram Address: Munduparamba, Malappuram, Kerala 676509 Phone: 0483 273 4918, website: www.gcmalappuram.ac.in
  • Software Companies in Malappuram

    1. Atlanta IT solutions Pvt. Ltd. Address: KPA Arcade Complex, Down Hill, Malappuram, Kerala 676519 mobile: 0483 273 9103, website: www.atlanta-it.com
    2. Beegains technology solutions LLP. Address: MACHINGAL , MALAPPURAM, Malappuram, Kerala 676514 Phone: 099466 44777, website:beegains.com

    Seo/Digital Marketing Companies in Malappuram

    1. Evoka Communications Address: Mailappuram, Malappuram, Kerala 676519 mobile: 091424 20001, website: www.evoka.in
 courses in Malappuram
In 1936, elections have been held to the Madras Legislature base at the revisions of the Government of India Act, 1935 and all of the Congress applicants from Malabar have been retuned to the provincial legislature. Volunteers from this district additionally participated withinside the well-known Salt Satyagraha on 1930 and can courted arrest. consisting 15 block, 7 municipalities and six taluks. The human beings are pious and the heritage of the human beings tells the tale of an hard lifestyles withinside the midst of hills, boulders and rocks. Watershed has turn out to be an appropriate unit of making plans for ultimate use and conservation of soil and water resources. Agriculture performs a important position withinside the district with a complete cropped region of 230288 ha. The Portuguese duration commences with the appearance of Vasco Da Gama at the Kerala coast in 1498. No similarly info are to be had approximately the lifestyles and subculture of the human beings both for the duration of the Sangam age or withinside the Post-Sangam age. Zamorin or Samury or Samuthiri at first belonged to Nediyiruppu in Ernad taluk of Malappuram district earlier than moving his seat to Kozhikode. With great stretches of evergreen wooded area Malappuram is blessed with herbal habitat for style of plant life and animals.

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