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- 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 Solapur

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

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

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 Solapur

  • MESCOMKEBOffice | Location details: Sneha Bazar Building, First Floor, Solapur - Mangalore Hwy, Above Canara Bank ATM, Vamanjoor, Mangalore, Karnataka 575028, India | Classification: Electricity board, Electricity board | Visit Online: | Contact Number (Helpline):
  • GA.MATaxConsultants | Location details: D/408, Poorva Nagari, Hadapsar, I.E, Solapur - Pune Hwy, Pune, Maharashtra 411013, India | Classification: Tax consultant, Tax consultant | Visit Online: business.site | Contact Number (Helpline): +91 87961 59760
  • PoliceCityControlRoom | Location details: Solapur Road, Vijayapura, Karnataka 586101, India | Classification: Police department, Police department | Visit Online: | Contact Number (Helpline): +91 83522 50751
  • Guravseo-DigitalMarketingExpertSolapur|SEOExpertSolapur|WebsiteDesignCompanyInSolapur | Location details: 43, Sai Homes, Aditya Nagar, Solapur, Maharashtra 413004, India | Classification: Internet marketing service, Internet marketing service | Visit Online: krishnaseo.com | Contact Number (Helpline): +91 87925 38715
  • SEOCompanyInHadapsar|DigitalMarketingHadapsarPune|MegaCentreHadapsar | Location details: Mega Center, F-105,Megacenter, Pune - Solapur Rd, near Ranka Jwellers, Hadapsar, Pune, Maharashtra 411028, India | Classification: Internet marketing service, Internet marketing service | Visit Online: everlastingseo.com | Contact Number (Helpline):
  • HyundaiSales&Service-SanjayHyundai,Hadapsar,Pune | Location details: Gate No 280, Vitthal Nagar, Pune - Solapur Highway, North Hadapsar, Pune, Maharashtra 411028, India | Classification: Hyundai dealer, Hyundai dealer | Visit Online: sanjayhyundai.com | Contact Number (Helpline): +91 98811 00250
  • PostOffice | Location details: Solapuram, Cholapuram, Tamil Nadu 630557, India | Classification: Post office, Post office | Visit Online: | Contact Number (Helpline):
  • ಶುಭಶ್ರೀಕಂಫರ್ಟ್ShubhashreeComfort | Location details: Solapur Rd, near NCC Office, Bangaramma Sajjan Campus, Vijayapura, Karnataka 586103, India | Classification: , | Visit Online: | Contact Number (Helpline): +91 83522 60505
  • OnTimeCars-CabServicesInPune | Location details: Shop No. 13, Hrishikesh Apartment, Pune - Solapur Rd, Malwadi, Hadapsar, Pune, Maharashtra 411028, India | Classification: Tour operator, Tour operator | Visit Online: ontimecars.in | Contact Number (Helpline): +91 80871 14422
  • IndiaPost | Location details: Solapur Road, Bangaramma Sajjan Campus, Vijayapura, Karnataka 586103, India | Classification: Post office, Post office | Visit Online: indiapost.gov.in | Contact Number (Helpline): +91 1800 11 2011
  • SuperintendentOfPoliceVijayapura | Location details: Solapur Road, Vijayapura, Karnataka 586101, India | Classification: Police station, Police station | Visit Online: | Contact Number (Helpline): +91 83522 50152
  • AceConsultancy | Location details: C-205, Megacentre, Pune - Solapur Rd, Hadapsar, Pune, Maharashtra 411028, India | Classification: Business management consultant, Business management consultant | Visit Online: | Contact Number (Helpline): +91 20 6401 7106
  • Guravseo-DigitalMarketingExpertSolapur|SEOExpertSolapur|WebsiteDesignCompanyInSolapur | Location details: 43, Sai Homes, Aditya Nagar, Solapur, Maharashtra 413004, India | Classification: Internet marketing service, Internet marketing service | Visit Online: krishnaseo.com | Contact Number (Helpline): +91 87925 38715
  • ZerodhaMarketingPartner | Location details: Solapur Rd, Solapur Bazar, Pune Cantonment, Pune, Maharashtra 411001, India | Classification: Stock broker, Stock broker | Visit Online: | Contact Number (Helpline):
  • DhruvDesigners&Consultants | Location details: S No 510, Pune Solapur Road, Pune Solapur Road, Pune, Maharashtra 411001, India | Classification: , | Visit Online: | Contact Number (Helpline): +91 98224 44673
  • CafeAdda | Location details: Solapur Rd, opp. IDBI Bank, Banjara Nagar South, Banjara Nagar, Vijayapura, Karnataka 586103, India | Classification: Cafe, Cafe | Visit Online: | Contact Number (Helpline): +91 99457 63326
  • A.G. PATIL INSTITUTE OF TECHNOLOGY Address: Soregoan, Solapur, Maharashtra 413008 Phone: 0217 234 2499 www.agpit.edu.in
  • Ikon College of Fire Engineering & Safety Management Address: 149/1A, Sudeep Complex, Ground Floor, Opposite Axis Bank, Hotgi Road, Solapur, Maharashtra 413003 Phone: 093702 85242 www.ikonfiresafety.com
  • Shri Siddeshwar Shikshan Mandal's College of Architecture Address: Ujani Colony , Behind T.V. Tower Solapur, Maharashtra, Jawaharlal Housing Society, Solapur, Maharashtra 413003 Phone: 0217 260 3950 www.shiksha.com
  • Karmayogi Engineering College Address: Gat No. 124, 125, At Post Shelve, Tal. Pandharpur, Solapur, Maharashtra 413304 Phone: 02186 250 300 www.karmayogiengg.com
  • Chandan SEO Services Address: Khardi, Maharashtra Phone: 072081 86763
 courses in Solapur
During the Muslim period, the city was known as Sandalpur. . 5 to6. The megacity used to be an important centre for cotton cloth manufacturing until lately and was the first to set up a waste- to- energy electricity factory in Maharashtra. All talukas are in safe order where as Malshira is Over Exploited. It's the fourth largest quarter in Maharashtra in terms of land area and seventh largest in terms of population. still indeed moment in numerous part of the quarter where the water position is deep during post thunderstorm season and the long term trend is also showing declining trend, the ground water addition measures should be incontinently taken up by artificial recharge styles. The transmissivity value is ranging between0. It falls under Survey of India topo wastes 47N, 47 J, 47D, 47K And 56K. 14 and4.

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer