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 Canberra

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

  • 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 Canberra
Data Science 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 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. A data scientist is a person who uses a variety of procedures, methods, systems, and algorithms to analyze data to provide actionable insights. 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. Create data strategies with the help of team members and leaders. Cleaning and validating data to ensure that it is accurate and consistent. This curriculum prepares you to work in a variety of Data Science professions and earn top-dollar wages. 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. To succeed as a data scientist, you must, nevertheless, make a particular effort to apply soft skills.

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

Febin

Mobile: +91 89210 61945
Location: Kochi, Online (Canberra)
Qualification: Diploma in Web technology & Graphic designing

Experience: Graphic design skills web tech proficiency creative vision project management ability   more..

payal

Mobile: +91 91884 77559
Location: Madhya Pradesh, Online (Canberra)
Qualification: MSC CS

Experience: 1 Html5 2 CSS3 3 wordpress 4 javascript 5 React js  more..

Nivedha

Mobile: +91 91884 77559
Location: Thiruvarur, Online (Canberra)
Qualification: Msc

Experience: Devops (certification) Java python NLP   more..

Ramakrushna

Mobile: +91 91884 77559
Location: Odisha, Online (Canberra)
Qualification: MCA

Experience: I am a experience android devloper with proficient knowledge on java kotlin XML and flutter dart also i know I  more..

Anand

Mobile: +91 94975 90866
Location: Telangana, Online (Canberra)
Qualification: Bachelor's degree BFA

Experience: Video editing video grapher managing social media content creation and graphic design  more..

Divyanshu

Mobile: +91 91884 77559
Location: Kanpur, U.P, Online (Canberra)
Qualification: B.Tech (CSE)

Experience: Over the years I've acquired relevant skills and experience in various domains such as Business Analysis Web Development UX and  more..

Vijayalaxmi

Mobile: +91 94975 90866
Location: Bengaluru , Online (Canberra)
Qualification: B.com

Experience: Seo Sem SMM Google ads email marketing and SMS marketing Totally i have 3yrs of experience as a seo analyst  more..

Kausar

Mobile: +91 89210 61945
Location: Maharashtra, Online (Canberra)
Qualification: BSc IT

Experience: As a versatile Digital Marketing Manager & Trainer with around 10 years of experience I have successfully merged my technical  more..

ASWIN

Mobile: +91 91884 77559
Location: Palani, Online (Canberra)
Qualification: Bsc information technology

Experience: Manual testing Sql Java Selenium Cucumber TestNG Jira  more..

Pranam

Mobile: +91 91884 77559
Location: Karnataka, Online (Canberra)
Qualification: Bachelor

Experience: Hi I am Pranam I am currently studying electronics and instrumentation at the BMS College of Engineering I have experience  more..

Sneha

Mobile: +91 9895490866
Location: Telangana, Online (Canberra)
Qualification: Bachelor of technology

Experience: C c# net asp net and angular and html CSS and JavaScript  more..

Ankit

Mobile: +91 91884 77559
Location: Varanasi , Online (Canberra)
Qualification: Graduate

Experience: Web design social media gogle Add WordPress php  more..

Aiswarya

Mobile: +91 8301010866
Location: Kannur, Online (Canberra)
Qualification: B-tech

Experience: html css javascript react  more..

Afjitha

Mobile: +91 8301010866
Location: Kerala, Online (Canberra)
Qualification: Btech

Experience: 2 5 years of experience in Automation testing using selenium java TestNG framework BDD cucumber selenium TestNG API testing using  more..

Archana

Mobile: +91 98474 90866
Location: Thrissur , Online (Canberra)
Qualification: MCA

Experience: I have knowlegde in Php wordpress sql codeigniter frameworks   more..

Nimish

Mobile: +91 94975 90866
Location: Gujarat, Online (Canberra)
Qualification: BE IN COMPUTER ENGINEERING

Experience: I know about HTML CSS JS PYTHON and django framework also know about basic of php   more..

Mahesh

Mobile: +91 9895490866
Location: Uttar Pradesh, Online (Canberra)
Qualification: BTech(cs)

Experience: I have used Java and Kotlin with MVVM MVC Architecture I have integrated Metamask ( Blockchain Wallet) Stripe Payment Sdk  more..

Govind

Mobile: +91 89210 61945
Location: Uttar Pradesh, Online (Canberra)
Qualification: Btech

Experience: Skills:- java css html react tailwind javascript bootstrap firebase sql Experience:- 2 5 month frontend developer intern at starzedu classes  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 canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra
Internship/projects in canberra

Trained more than 10000+ students who trust Nestsoft TechnoMaster

Get Your Personal Trainer