Data Science Certification Course Training
Gain clear understanding about the concepts related to data science by the Data Science Certification Course Training course by Excel R.
Online
6 Months
2,100 USD Quick Facts
| Medium Of Instructions | Mode Of Learning | Mode Of Delivery |
|---|---|---|
| English | Self Study, Virtual Classroom, Campus Based/Physical Classroom | Video and Text Based |
Course Overview
Pertaining to the requirement of the extensive knowledge of Data Science, the Data Science Certification Course Training by Excel R. Data science has constantly been the highest in-demand profession and the most sought-after profession as per Harvard. This Data Science Certification Course Training syllabus has been carefully planned to not only cover the basic statistics using R and Python but also most of the advanced topics of Data science Survival analysis through Data Science.
Data science being related to all about mining hidden insights of data by analysing behaviour, inferences, interpretations & trends, this course is designed in such a manner that candidates get to develop their trend interpretation & behavioural analysis skills. Through the perfectly blended Data Science Certification Course method, candidates can avail pre-recorded sessions, classroom and instructor-led online sessions with a single enrolment, which efficiently produces a synergistic impact on learning. Through Data Science Certification Course Training syllabus, text mining to neural networks to regularisation techniques, candidates get a very wide-coverage of the various topics related to data science.
The Highlights
- Access to a huge data science interview repository.
- Assured placement support.
- Lifetime access.
- 2 Real life capstone projects.
- Post-training support.
- SGIT Alumnus Status.
- Both synchronous & asynchronous programmes available.
- Six months of duration
Programme Offerings
- video lectures
- Live Projects
- Graded Assignments
Courses and Certificate Fees
| Certificate Availability | Certificate Providing Authority |
|---|---|
| yes | ExcelR SolutionsSteinbeis Global Institute, Tubingen |
The Data Science Certification Course Training fee by Excel R is as follows:
| Fees components | Amount |
| Without IITM Pravartak Certification | $ 1500 |
| With IITM Pravartak Certification | $ 1599 |
Eligibility Criteria
Certification Qualifying Details
After completion of the training, a candidate must take an online examination facilitated by the university & should attain at least 60% to gain certification.
What you will learn
Through the Data Science Certification Course Training by Excel R:
- Candidates will get to learn the basic statistics using R & python.
- Association rules & dimension reduction techniques will also be taught.
- Candidates will also be able to understand various clustering algorithms.
- They will be able to learn deployment using R Shiny & streamlit in R & Python as that will also be taught.
- The candidates will also learn Regularization & ensembled techniques as these will also be covered.
- Candidates will thoroughly be able to handle categorical data.
- Basics of MySQL will also be taught to candidates.
- Neural networks & Deep learning will also be thoroughly covered.
- Candidates will understand how to train, test & validate a set.
- Time series analysis will also be covered during analytics for candidates.
Who it is for
The Data Science Certification Course Training by Excel R is highly recommended for:
- Individuals interested in Data Science.
- Data scientists desire for improvement in their skills.
Admission Details
The admission procedure for the Data Science Certification Course Training by Excel R is pretty direct. Candidates are only required to keep their billing details & payment method with them.
Candidates should follow the mentioned steps for admission:
Step 1. Candidates need to visit the homepage of the course: https://www.excelr.com/data-science-certification-course-training
Step 2. Candidates need to select the appropriate mode of learning from Live virtual & self-paced & then click on ‘Buy Now’.
Step 3. In the payment page, click on ‘Proceed’.
Step 4. After entering the correct billing details, candidates are required to do the payment.
Step 5. After the payment is successful, the course will be accessible.
The Syllabus
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Data Science
Core Python
Core Python
Core Python
Core Python
Core Python
Core Python
Core Python
Core Python
Core Python
Core Python
Core Python
Core Python
Core Python
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
Mysql
MLOps
MLOps
MLOps
MLOps
ChatGPT
ChatGPT
ChatGPT
ChatGPT
ChatGPT
ChatGPT
Artificial Intelligence
- 1. Linear Algebra: Vectors, matrices, dot product, matrix multiplication
- 2. Calculus: Derivatives, partial derivatives, chain rule (for backpropagation)
- 3. Review on ANN
Artificial Intelligence
- 1. What is Gradient Descent in detail? Connectivity of Calculus in Back propagation. Weight & Bias Updates,
- 2. Types of Loss functions(MSE, Binary Cross entropy (Binary & Muliti)
- 3. Overfitting Solutions(Dropout, Early stopping)
- 4.Types of Optimizers and acitvations functions its applications
- 5. Example Case study
Artificial Intelligence
- 1. CNN,DeepConvolutionModel,DetectionAlgorithm, CNN FaceRecognition
- 2. Working on MNIST data set
Artificial Intelligence
- 1. Introduction to Web Scraping & Web Basics,
- 2. Python Libraries for Web Scraping (requests, BeautifulSoup)
- 3. HTML & Web Page Structure Basics
Artificial Intelligence
- Selecting a website and extract the data
- 1. To Extract Image, Reviews, Ratings, and Price Tags
- 2. Store in Structured Format
- 3.
- a) Image classfication from images
- b) Sentiment analysis from Reviews
- c) Regression model from Prices.
Big Data
Big Data
Big Data
Big Data
Big Data
Big Data
Big Data
Big Data
Big Data
Big Data
Azure
Azure
Azure
Azure
Azure
Basic Of R
Basic Of R
Basic Of R
Tableau
- What is Tableau ?
- What is Data Visulaization ?
- Tableau Products
- Tableau Desktop Variations
- Tableau File Extensions
- Data Types, Dimensions, Measures, Aggregation concept
- Tableau Desktop Installation
- Data Source Overview
- Live Vs Extract
Tableau
- Overview of worksheet sections
- Shelves
- Bar Chart, Stacked Bar Chart
- Discrete & Continuous Line Charts
- Symbol Map & Filled Map
- Text Table, Highlight Table
- Formatting: Remove grid lines, hiding the axes, conversion of numbers to thousands, millions, Shading, Row divider, Column divider Marks Card
Tableau
- What are Filters ?
- Types of Filters
- Extract, Data Source, Context, Dimension, Measure, Quick Filters
- Order of operation of filters
- Cascading
- Apply to Worksheets
Tableau
- Need for calculations
- Types: Basic, LOD's, Table
- Examples of Basic Calculations: Aggregate functions, Logical functions, String functions, Tablea calculation functions, numerical functions, Date functions
Tableau
- LOD's: Examples
- Table Calculations: Examples
Tableau
- What is Data Combining Techniques ?
- Types
- Joins, Relationships, Blending & Union
Tableau
- Dual Axis
- Combined Axis
- Donut Chart
- Lollipop Chart
- KPI Cards (Simple)
- KPI Cards (With Shape)
Tableau
- What are Groups ? Purpose
- What are Bins ? Purpose
- What are Hierarchies ? Purpose
- What are Sets ? Purpose
- What are Parameters ? Purpose and examples
Tableau
- Reference Lines
- Trend Line
- Overview of Dashboard: Tiled Vs Floating
- All Objects overview, Layout overview
- Dashboard creation with formatting
Tableau
- Actions: Filter, Highlight, URL, Sheet, Parameter, Set
- How to save the workbook to Tableau Public website ?
Steinbeis University, Berlin Frequently Asked Questions (FAQ's)
There are as such no prerequisites mandatory for the course.
This course is the perfect blend of a live classroom & a self-paced learning programme.
The candidates are provided lifetime access to the course.
The placement assistance programme of Excel R has a gleaming track-record globally.
Candidates are provided access to a vast interview preparation repository.
At least 60% is mandatory upon completion of the course for certification.
For any query, candidates can call toll-free no. 1800-212-2120
Every live lecture is recorded for revision purposes & is accessible by everyone.
The candidates get certified from Tata Consultancy Services & SGIT Alumnus status.
The Data Science Certification Course syllabus is designed for a duration of 6 months.