Data Science Training by Experts

;

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 learns 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
This syllabus is not final and can be customized as per needs/updates
 
10000+
20+
50+
25+

Data Science Jobs in Philadelphia

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

  • 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 Philadelphia
Data Science You'll have a personal mentor who will keep track of your development. 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 Philadelphia. There are numerous reasons why you should take this course. To find trends and patterns, use algorithms and modules. Cleaning and validating data to ensure that it is accurate and consistent. Identify and collect data from data sources. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills. This finest Data Science course was built with the needs of businesses in mind when it comes to the field of Data Science. . 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.

Meet a Few of our Industry Experts 🚀 Your Pathway to IT Career

RAHIL

Mobile: +91 91884 77559
Location: Kolkata, Online (Philadelphia)
Qualification: B.TECH

Experience: Java developer with 10 years of experience that includes working as Programmer Analyst and in Associate Role in Cognizant Technology  more..

Rinshila

Mobile: +91 89210 61945
Location: Kerala, Online (Philadelphia)
Qualification: BSC Computer science

Experience: Cyber security SOC analysis Penetration testing Networking fundamentals and configuration |   more..

ARYA

Mobile: +91 8301010866
Location: Koratty , Online (Philadelphia)
Qualification: B tech in ECE

Experience: I have 6 month experience in electronic firm as a PCB testing engineer I have computer knowledge and know  more..

SAHIL

Mobile: +91 91884 77559
Location: Maharashtra, Online (Philadelphia)
Qualification: Bachelor's

Experience: I have 1 year experience in wordpress and expertise in Html CSS javascript wordpress react I'm familiar with plugins like  more..

prabhav

Mobile: +91 91884 77559
Location: Punjab, Online (Philadelphia)
Qualification: graduate

Experience: Currently i am a fresher and i am practicing android development from past 1 year   more..

Rovin

Mobile: +91 8301010866
Location: Bahadurgarh, Online (Philadelphia)
Qualification: B.Tech

Experience: I have 1 4 years experienced in odoo I have work different module like purchase sale manufacturing inventory invoicing Some  more..

Saloni

Mobile: +91 8301010866
Location: Maharashtra, Online (Philadelphia)
Qualification: B.E. Production Engineering

Experience: I am a production engineering graduate with a focus on logistics operations and data analysis My expertise lies in optimizing  more..

Ashish

Mobile: +91 8301010866
Location: Surat, Gujarat, Online (Philadelphia)
Qualification: Frontend developer

Experience: 4+ years HTML5 CSS3 bootstrap Webflow Unbounse react(basics) Shopify(learning)  more..

Akansha

Mobile: +91 8301010866
Location: Sagar mp, Online (Philadelphia)
Qualification: MCA

Experience: I have done 3 months of internship as a web developer in techsynric technologies Also I have sone MCA with  more..

Nisha

Mobile: +91 8301010866
Location: Gurugram , Online (Philadelphia)
Qualification: B.tech

Experience: Certification in manual testing Certification in automation testing   more..

Nitish

Mobile: +91 94975 90866
Location: West Bengal, Online (Philadelphia)
Qualification: Master's

Experience: Experience 2 years User Research wireframing mobile design Prototyping  more..

Nishant

Mobile: +91 9895490866
Location: Rajasthan, Online (Philadelphia)
Qualification: M.c.a,ccna,ccnp,firewall

Experience: Ccna ccnp security firewall jncia |   more..

Harshalkumar

Mobile: +91 98474 90866
Location: Maharashtra, Online (Philadelphia)
Qualification: ME

Experience: Angular front end development Javascript HTML CSS Bootstrap  more..

Oleti

Mobile: +91 94975 90866
Location: UAE, Online (Philadelphia)
Qualification: B. Tech

Experience: Python programming c java msword msexcel  more..

Pooja

Mobile: +91 91884 77559
Location: Pune, Online (Philadelphia)
Qualification: BE

Experience: Manual testing automation testing selenium BDD Java SQL jira tool postman tool etc  more..

Sify

Mobile: +91 91884 77559
Location: Kochi, Online (Philadelphia)
Qualification: mtech

Experience: expert in odoo full stack  more..

jaivansh

Mobile: +91 94975 90866
Location: Haryana, Online (Philadelphia)
Qualification: CEH

Experience: Because of my special combination of expertise abilities and enthusiasm for cybersecurity I think I'm a great fit for this  more..

Krishnapriya

Mobile: +91 8301010866
Location: Kottayam, Online (Philadelphia)
Qualification: B. Tech

Experience: Java kotlin flutter(basics) REST APIs JSON SQLite MYSQL XML JavaScript  more..

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.

Photos of Training / Internships

Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia
Internship/projects in philadelphia

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer