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 Vijayawada

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

  • 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 Vijayawada
Data Science Experts provide immersive online instructor-led seminars. 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 Vijayawada. . The Data Science Process, Communicating with Stakeholders, Software Engineering Practices, Object-Oriented Programming, Web Development, ETL Pipelines, Natural Language Processing, Machine Learning Pipelines, Experiment Design, Statistical Concerns of Experimentation, A/B Testing, and Introduction to Recommendation Engines are some of the topics covered in. Create data strategies with the help of team members and leaders. Cleaning and validating data to ensure that it is accurate and consistent. To find trends and patterns, use algorithms and modules. Identify and collect data from data sources.

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 Vijayawada

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  • SRK PIXELSOFT Address: SRK Pixelsoft, 39-10-21,Veterinary Hospital Road, Labbipet, Vijayawada, Vijayawada, Andhra Pradesh 520010 Phone: 0866 661 2342 , Website: srkpixelsoft.com/
  • G 4 Graphix Logo & Web Designing Company Address: Shop No.07, 1st Floor, HRT Sai Nirman, HB Colony, Bhavanipuram,, Vijayawada, Andhra Pradesh 520012 Phone: 091777 77045 , Website: https://www.indiamart.com/g4graphix/aboutus.html
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 courses in Vijayawada
nonetheless, it's one of the large areas in the megacity which generated employment and housed civic poor. The first institute of public significance in the field of Architecture and Planning in the quondam as well as recently formed state of Andhra Pradesh, the School of Planning and Architecture Vijayawada( SPAV) has been seated in Vijayawada since 2008. The metamorphosis in social and trade life is causing the formal, infor- mal, domestic, and marketable sectors to grow. Three conduits forming from the north side of the Prakasam shower force, videlicet, Eluru, Bandar and Ryves, pass through the megacity. This is apparent from the growth of mortal and vehicle population, as well as the decreasingly busy traditional business thoroughfares in the One city area( core megacity mecca) and ultramodern promenades and super requests in the MG Road( Mohamed, AR 2014). Vijayawada is framed by the Krishna River on the south- west, and the Budameru River on the north. There are places in Vijayawada with distinct civic character and milestones, but the megacity is known to retain traditional values, practices and pastoral living patterns and styles within the civic fabric. The megacity has an intricate mesh of conduits giving a special mor- phological character. still, the people of Vijayawada are sluggishly entering into a newer interpretation of the megacity which is busy, crowded, unhealthy and vulnerable in numerous aspects. The Route Relay Interlocking Cabin at Vijayawada was opened on .

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