Data Science Training at Eduva Tech
Data Science is the research of the data to extract significant data for each business. Thus, it is a multidisciplinary approach that Data Science is a rapidly growing field, and Eduva Tech offers an exceptional training program in this area. Students who enrol in Eduva Tech’s Data Science Training program have the opportunity to gain practical experience with real-world projects, receive personalised instruction from expert instructors, and access to industry professionals for mentorship and networking opportunities.
One of the key benefits of Eduva Tech’s Data Science Course Training program is the individualised attention that students receive. Unlike traditional classroom settings, Eduva Tech’s program is designed to provide students with personalised instruction based on their unique needs and goals. This allows students to progress at their own pace and receive the support they need to succeed.
The Eduva Tech offers inclusive Data Science Course training programmes in Data Science that reshape individuals to reach students needs to become valuable to the industry. Eduva Tech Customised Data Science Training Program prepares you to use methods, tools and technology to generate accurate and meaningful data. Students get Knowledge on how to inundate the data with modern organisations. Students will get proper knowledge about how an extension of devices that can impulsively collect and store the information.
Benefits of Benefits of Data Science Training
Data Science is highly demanded in the IT sector where you know how to use data effectively. In this course you will cover all updated and exceptional knowledge to hold a valuable position in the top white collar jobs in the IT field.
Here are top advantages to learn from Eduva Tech. Let’s take a look below.
- Learn With Ease:here you can learn this whole course from your comfort zone. Eduva offers you to choose a Data Science Online Course and get proper guidance from top industry experts. Further, The trainer will guide you with your real world based scenarios of the latest trend of IT industry.
- Personalised Training Programme:The Data Science certification course is personalised design by industry experts where students will learn under experts in the field and years of experience. Also, each student will get proper attention. It will not like traditional classroom settings and is specially designed to attain all unique needs and set up the goal.
- An Addition: Eduva Tech Data Science Training Programme will provide you real time experience with practical knowledge. students will assign practical assignments to apply their skills.
Make you ready for the professional world.
Another benefit of Eduva Tech’s Data Science Training program is the practical experience that students gain. The program is designed to provide hands-on experience with real-world projects, allowing students to apply the skills they learn in a practical setting. This not only enhances their learning experience but also prepares them for the demands of the professional world.
Overall, Eduva Tech’s Data Science Course Training program provides an exceptional opportunity for students to gain practical experience, individualised attention, and a solid foundation for building successful careers in the rapidly growing field of Data Science.
consolidates principle and practice from the field of information technology like artificial intelligence and computer engineering, mathematics and statistics or engineering to analyse and collect huge amounts of data. With the help of data science it can be helpful to get responses to the query like what happened, what will happen and what we will be done with the result.
The Comprehensive, Eduva Tech Data Science Training Course programme provides complete knowledge and prepares you for an exceptional opportunity for organisations.
We Prepare You For IT Ready, Start Your Learning Today
Data Science Course Outline
- INTRODUCTION TO DATA SCIENCE
- USE CASES
- THE NEED FOR BUSINESS ANALYTICS
- DATA SCIENCE LIFE CYCLE
- DIFFERENT TOOLS AVAILABLE FOR DATA
SCIENCE
ENVIRONMENT SET-UP
- ENVIRONMENT SETUP PYTHON ENVIRONMENT
SETUP
JUPYTER OVERVIEW
- JUPYTER OVERVIEW UPDATES TO NOTEBOOK ZIP
- JUPYTER NOTEBOOKS
- OPTIONAL: VIRTUAL ENVIRONMENTS
PYTHON CRASH COURSE
- PYTHON CRASH COURSE WELCOME TO THE
PYTHON CRASH COURSE - PYTHON CRASH COURSE – PART 1
- PYTHON CRASH COURSE – PART 2
- PYTHON CRASH COURSE – PART 3
- PYTHON CRASH COURSE – PART 4
- PYTHON CRASH COURSE EXERCISES – OVERVIEW
- PYTHON CRASH COURSE EXERCISES – SOLUTIONS
PYTHON FOR DATA ANALYSIS – NUMPY
- PYTHON FOR DATA ANALYSIS – NUMPY
- WELCOME TO THE NUMPY SECTION
- INTRODUCTION TO NUMPY
- NUMPY ARRAYS
- QUICK NOTE ON ARRAY INDEXING
- NUMPY ARRAY INDEXING
- NUMPY OPERATIONS
- NUMPY EXERCISES OVERVIEW
- NUMPY EXERCISES SOLUTIONS
PYTHON FOR DATA ANALYSIS – PANDAS
- PYTHON FOR DATA ANALYSIS – PANDAS WELCOME TOTHE PANDAS SECTION
- INTRODUCTION TO PANDAS
- SERIES
- dataframes
- MISSING DATA
- GROUPBY
- MERGING JOINING AND CONCATENATING
- OPERATIONS
- DATA INPUT AND OUTPUT
PYTHON FOR DATA ANALYSIS – PANDAS EXERCISES
- PYTHON FOR DATA ANALYSIS – PANDAS
- EXERCISES NOTE ON SF SALARY EXERCISE
- SF SALARIES EXERCISE OVERVIEW
- SF SALARIES SOLUTIONS
- ECOMMERCE PURCHASES EXERCISE OVERVIEW
- ECOMMERCE PURCHASES EXERCISE SOLUTIONS
PYTHON FOR DATA VISUALIZATION – MATPLOTIB
- PYTHON FOR DATA VISUALIZATION
- MATPLOTIB WELCOME TO THE DATA VISUALIZATION
SECTION - INTRODUCTION TO MATPLOTLIB
- MATPLOTLIB PART 1
- MATPLOTLIB PART 2
- MATPLOTLIB PART 3
- MATPLOTLIB EXERCISES OVERVIEW
- MATPLOTLIB EXERCISES – SOLUTIONS
PYTHON FOR DATA VISUALIZATION -SEABORN
- PYTHON FOR DATA VISUALIZATION
- SEABORN INTRODUCTION TO SEABORN
- DISTRIBUTION PLOTS
- CATEGORICAL PLOTS
- MATRIX PLOTS
- GRIDS
- REGRESSION PLOTS
PYTHON FOR DATA VISUALIZATION – SEABORN
- STYLE AND COLOR
- SEABORN EXERCISE OVERVIEW
- SEABORN EXERCISE SOLUTION
PYTHON FOR DATA VISUALIZATION – PANDAS BUILT-IN
- PYTHON FOR DATA VISUALIZATION – PANDAS
- BUILT-IN PANDAS BUILT-IN DATA VISUALIZATION
- PANDAS DATA VISUALIZATION EXERCISE
- PANDAS DATA VISUALIZATION EXERCISE – SOLUTIONS
PYTHON FOR DATA VISUALIZATION – PLOTLY AND CUFFLINKS
- PYTHON FOR DATA VISUALIZATION – PLOTLY
- CUFFLINKS INTRODUCTION TO PLOTTY AND CUFFLINKS
- PLOTTY AND CUFFLINKS
PYTHON FOR DATA VISUALIZATION – GEOGRAPHICAL PLOTTING
- PYTHON FOR DATA VISUALIZATION
- GEOGRAPHICAL PLOTTING INTRODUCTION TO
GEOGRAPHICAL PLOTTING - CHOROPLETH MAPS – PART 1 – USA
- CHOROPLETH MAPS – PART 2 – WORLD
- CHOROPLETH EXERCISES CHOROPLETH EXERCISES –
SOLUTIONS
DATA PREPROCESSING TECHNIQUE
- FEATURE ENGINEERING
- TYPES OF VARIABLES: NUMERICAL, CATEGORICAL,
DATETIME AND MIXED VARIABLES - DATA CLEANING STEPS
- COLLECTING DATASETS
- HANDLING MISSING VALUE
- MISSING VALUE IMPUTATION
- STANDARDIZATION AND NORMALIZATION
DATA CAPSTONE PROJECT
- DATA CAPSTONE PROJECT
- WELCOME TO THE DATA CAPSTONE PROJECTS
- 911 CALLS PROJECT OVERVIEW
- 911 CALLS SOLUTIONS – PART 1
- 911 CALLS SOLUTIONS – PART 2
- BANK DATA
- FINANCE DATA PROJECT OVERVIEW
- FINANCE PROJECT – SOLUTIONS PART 1
- FINANCE PROJECT – SOLUTIONS PART 2
- FINANCE PROJECT – SOLUTIONS PART 3
INTRODUCTION TO MACHINE LEARNING
- INTRODUCTION TO MACHINE LEARNING
- WELCOME TO THE MACHINE LEARNING SECTION!
- LINK FOR ISLR
SUPERVISED LEARNING OVERVIEW - EVALUATING PERFORMANCE – CLASSIFICATION
- EVALUATING PERFORMANCE – REGRESSION ERROR
- MACHINE LEARNING WITH PYTHON
LINEAR REGRESSION
- LINEAR REGRESSION
- LINEAR REGRESSION THEORY
- MODEL_SELECTION UPDATES FOR SCIKIT LEARNING
- LINEAR REGRESSION WITH PYTHON – PART 1
- LINEAR REGRESSION WITH PYTHON – PART 2
- LINEAR REGRESSION PROJECT OVERVIEW
- LINEAR REGRESSION PROJECT SOLUTION
About Training
DURATION: 30 DAYS
Weekdays and Weekend Classes Available
Join Today:
Call/Whatsapp: +91 9315519124
Email Us At: eduvatechofficial@gmail.com