Certified Data Science Coder and Engineer (CDSCE)

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International Institute of Excellence & Effective Leadership (IIEEL)

21:03:50

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1. Introduction to R

1. Course philosophy and introduction to R.mp4

10:15

2. Introduction to R.mp4

10:57

3. Introduction to R (Continued).mp4

08:53

4. Variables and datatypes in R.mp4

15:15

5. Data frames.mp4

15:49

6. Recasting and joining of dataframes.mp4

20:32

7. Arithmetic,Logical and Matrix operations in R.mp4

49:18

8. Advanced programming in R Functions.mp4

08:05

9. Advanced Programming in R Functions (Continued).mp4

11:56

10. Control structures.mp4

12:17

11. Data visualization in R Basic graphics.mp4

07:51

2. Understanding Linear algebra for data science

1. Linear Algebra for Data science.mp4

28:10

2. Solving Linear Equations.mp4

24:13

3. Solving Linear Equations.mp4

24:09

4. Solving Linear Equations ( Continued ).mp4

24:12

5. Linear Algebra - Distance,Hyperplanes and Halfspaces,Eigenvalues,Eigenvectors.mp4

32:56

6. .Linear Algebra - Distance,Hyperplanes And Halfspaces,Eigenvalues,Eigenvectors-II.mp4

28:12

7. 16.Linear Algebra-Distance,Hyperplanes And Halfspaces,Eigenvalues,Eigenvectors-III.mp4

33:17

8. Linear Algebra Distance,Hyperplanes And Halfspaces,Eigenvalues,Eigenvectors-IV.mp4

23:57

3. Deep Dive into Statistics

1. Statistical Modelling.mp4

24:40

2. Random Variables and Probability Mass Density Functions.mp4

28:01

3. Random Variables and Probability Mass Density Functions.mp4

33:33

4. Hypothesis Testing.mp4

37:01

4. Understanding Optimization Principles for Data Science

1. Optimization for Data Science.mp4

39:23

2. Unconstrained Multivariate Optimization.mp4

29:33

3. Unconstrained Multivariate Optimization ( Continued ).mp4

18:10

4. Gradient ( Steepest ) Descent ( OR ) Learning Rule.mp4

23:36

5. Optimization and Typology of data science problems solution framework

1. Multivariate Optimization With Equality Constraints.mp4

30:30

2. Multivariate Optimization With Inequality Constraints.mp4

44:33

3. .Introduction to Data Science.mp4

41:36

4. Solving Data Analysis Problems - A Guided Thought Process.mp4

34:21

6. Simple and Multivariate linear regression

1. Module Predictive Modelling.mp4

23:21

2. Linear Regression.mp4

40:38

3. Model Assessment.mp4

35:17

4. Diagnostics to Improve Linear Model Fit.mp4

28:46

5. Simple Linear Regression Model Building.mp4

11:28

6. Simple Linear Regression Model Assessment.mp4

08:22

7. Simple Linear Regression Model Assessment (Continued).mp4

13:09

8. Muliple Linear Regression.mp4

38:43

7. Classification using logistic regression

1. Cross Validation.mp4

19:00

2. Multiple Linear Regression Modelling Building and Selection.mp4

37:47

3. Classification.mp4

19:00

4. Logisitic Regression.mp4

29:01

5. Logisitic Regression Contiinued.mp4

18:16

6. Performance Measures.mp4

32:30

7. Logisitic Regression Implementation in R.mp4

20:32

8. Classification using kNN and k-means clustering

1. .K - Nearest Neighbors (kNN).mp4

26:04

2. .K - Nearest Neighbors implementation in R.mp4

28:51

3. K - means Clustering.mp4

31:00

4. K - means implementation in R.mp4

20:54

5. Data Science for engineers - Summary.mp4

06:00

Description

Graduates or Freshers Unlock the Power of Data Science: Engineer Your Way to Informed Decisions and Data-Driven Success

What You'll Learn?

R as a programming language and Develop R codes for data science solutions
The mathematical foundations required for data science
The first level data science algorithms
A data analytics problem solving framework and Assess the solution approach
Construct use cases to validate approach and identify modifications required

Who is this for?

Engineers: The course is primarily designed for engineers who want to incorporate data science techniques into their work

Engineering Managers: Engineering managers who want to understand and utilize data science concepts to guide their teams and make data-driven decisions can benefit from this course.

Data Analysts: If you are a data analyst working in an engineering context, this course can provide you with a deeper understanding of engineering principles and challenges.

Technical Professionals: Professionals with a technical background who are interested in exploring the field of data science and its applications in engineering can attend this course.

Graduates and Students: Recent engineering graduates or students who want to develop a competitive edge in the job market can find value in this course

What You Need to Know?

Any interested learner, Computer and MS Excel , R Programming

More details

Description
Certified Data Science for Engineers & Professionals (CDSEP)
Course Description: Are you an engineer or a technical professional looking to enhance your data science skills? Look no further! The Certified Data Science for Engineers and Professionals course is here to provide you with the knowledge and tools necessary to excel in the field of data science. This comprehensive course is designed to bridge the gap between engineering principles and data analysis, empowering you to leverage data-driven insights for informed decision-making and problem-solving.
Throughout this course, you will embark on an exciting journey through various key topics in data science.
In Session 1, we will delve into the course philosophy and introduce you to the powerful programming language R, a staple in the data science toolkit.
Session 2 focuses on Linear Algebra for data science. You will explore the algebraic and geometric views of vectors and matrices, understanding concepts such as product of matrix and vector, rank, null space, solution of over-determined sets of equations, and pseudo-inverse. Additionally, you will dive into the geometric interpretation of vectors, distance, projections, and eigenvalue decomposition.
Statistics takes center stage in Session 3, where you will learn about descriptive statistics, the notion of probability, and various distributions. You will gain insights into mean, variance, covariance, and covariance matrix, along with a solid understanding of univariate and multivariate normal distributions. An introduction to hypothesis testing and confidence interval estimation will equip you with essential statistical tools.
Session 4 brings you to the realm of Optimization, exploring techniques to maximize or minimize objective functions. You will learn about different optimization algorithms and how to apply them to real-world scenarios.
In Session 5, we delve deeper into Optimization and introduce you to the typology of data science problems. By understanding different types of problems, you'll develop a solution framework to tackle them effectively.
Session 6 is dedicated to Regression Analysis. You will start with Simple Linear Regression, examining assumptions used in linear regression models. Then, you will progress to Multivariate Linear Regression, where you'll explore model assessment, the importance of different variables, and subset selection techniques.
Classification takes the spotlight in Session 7. You will learn about Logistic Regression, a powerful method for binary classification tasks. We'll dive into the intricacies of logistic regression, understanding how to apply it to real-world problems.
Session 8 concludes the course by introducing Classification using k-Nearest Neighbors (kNN) and k-means Clustering. You will gain proficiency in these fundamental machine learning techniques and understand how they can be utilized to solve classification problems.
By the end of this course, you will have acquired a solid foundation in data science for engineering applications. With the Certified Data Science for Engineers and Professionals course, you'll be equipped with the skills and knowledge to leverage data effectively, make informed decisions, and propel your career to new heights. Enroll now and embark on your journey to become a certified data scientist!
Who this course is for:
Engineers: The course is primarily designed for engineers who want to incorporate data science techniques into their work
Engineering Managers: Engineering managers who want to understand and utilize data science concepts to guide their teams and make data-driven decisions can benefit from this course.
Data Analysts: If you are a data analyst working in an engineering context, this course can provide you with a deeper understanding of engineering principles and challenges.
Technical Professionals: Professionals with a technical background who are interested in exploring the field of data science and its applications in engineering can attend this course.
Graduates and Students: Recent engineering graduates or students who want to develop a competitive edge in the job market can find value in this course

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Data Science

International Institute of Excellence & Effective Leadership (IIEEL)

Instructor's Courses

International Institute of Excellence and Effective Leadership (IIEEL) was established in 2007 by a group of industry experts, Master Black belts, and Professional certified coaches who are highly experienced in the field of Business excellence from various sectors (Petrochemicals, Information technology, Automobile, Pharmaceutical, Banking, Hospitals, FMCG, Chemicals, etc). We are the one-stop solution for all professionals or individuals to get certification towards excellence, quality courses aligned to ASQ, IASSC credentials, and Career transition coaching & leadership coaching aligned to competencies of international coach federation towards ICF ACC, PCC credentials. We are team of course Instructors are all Engineers from IIT and reputed university plus 30+ years’ Industry experience, 2500 + coaching hours and have played corporate operational excellence and Professional coaches roles in last 15 year experience in various sectors (IT, Pharma, Automobile, Chemical, Service, Bank FMCG sectors).They are- Highly seasoned Corporate leaders of business excellence- Deployed successfully lean six sigma multisite globally in various corporates - Certified Master black belt- Certified Black belt,- Certified Manager of organization excellence- Accredited international professional coaching certification-ICF PCC- Accredited Training associate of IASSC.Have trained more than 40000+ professionals in the field of Total quality management, and coaching done for 200+ leaders in organization. · All provide high quality of coaching and training in all courses leading to all international Certification for individual’s career growth.

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