Contact Us:

  learnitskills@ksotl.com

+1(240)687-3823

Contact Us:

  learnitskills@ksotl.com

+1(240)687-3823

At Kweli Solutions, we provide a wide range of courses and teaching modules for those who have chosen IT as their career path

At Kweli Solutions, we provide a wide range of courses and teaching modules for those who have chosen IT as their career path

KWELI SOLUTIONS DATA SCIENCE COURSE

Equip yourself with the Data Science skills and knowledge to perform various Data Science job functions: Data Scientist, Machine Learning Engineer, Data Architect, Infrastructure Architect, Business Intelligence (BI) Developer. 

KWELI SOLUTIONS
 DATA SCIENCE COURSE

Equip yourself with the Data Science skills and knowledge to perform various Data Science job functions: Data Scientist, Machine Learning Engineer, Data Architect, Infrastructure Architect, Business Intelligence (BI) Developer. 

Subscribe to our Email List and register for the course to gain access to slack {Access to Student Community , Job Opportunity drops, Early Assignment Access (“Get Ahead”), Instructor Contact and Instant Access to live class}

First Name:

Email Address:

Phone Number:

Subscribe to our Email List and register for the course to gain access to slack {Access to Student Community , Job Opportunity drops, Early Assignment Access (“Get Ahead”), Instructor Contact and Instant Access to live class}

First Name:

Email Address:

Phone Number:

Course Description

This course will cover foundational data science tools and techniques, exploring different programming techniques and conducting research. Learners will get prepared for Data science statistics and Machine/Deep learning specialization. At the end, learners will apply their advance concepts through submission of a project.

How To Purchase This Course

Requirements

  • Laptop – (With front-facing camera)
  • A positive spirit
  • Analytical MindSet
  • ​Grit

Rationale of the Course

With the evolution of Analytics, Data Science has turned out to be an obligation for any business entity for the gigantic amount of data being generated daily in this world. To make most out of their data, companies from all domains are looking for Data Scientists. It has created a huge demand for these professionals all over the world.
The course is a ten (10) weeks programs containing different modules.

Course Skills

  • Problem solving/Applied reasoning .
  • Creativity and innovation 
  • Flexibility and adaptability 
  • ​Self-confident
  • Practical skills
  • Research skill and awareness 

Course Description

This course will cover foundational data science tools and techniques, exploring different programming techniques and conducting research. Learners will get prepared for Data science statistics and Machine/Deep learning specialization. At the end, learners will apply their advance concepts through submission of a project.

How To Purchase This Course

Requirements

  • Laptop – (With front-facing camera)
  • A positive spirit
  • Analytical MindSet
  • ​Grit

Rationale of the Course

With the evolution of Analytics, Data Science has turned out to be an obligation for any business entity for the gigantic amount of data being generated daily in this world. To make most out of their data, companies from all domains are looking for Data Scientists. It has created a huge demand for these professionals all over the world.
The course is a ten (10) weeks programs containing different modules.

Course Skills

  • Problem solving/Applied reasoning .
  • Creativity and innovation 
  • Flexibility and adaptability 
  • ​Self-confident
  • Practical skills
  • Research skill and awareness 

Subscribe to our Email List and register for the course to gain access to slack {Access to Student Community , Job Opportunity drops, Early Assignment Access (“Get Ahead”), Instructor Contact and Instant Access to live class}

First Name:

Email Address:

Phone Number:

Subscribe to our Email List and register for the course to gain access to slack {Access to Student Community , Job Opportunity drops, Early Assignment Access (“Get Ahead”), Instructor Contact and Instant Access to live class}

First Name:

Email Address:

Phone Number:

Careers in Data Science

  • Data Scientist                                                                                Average Salary: $139,840
  • Machine Learning Engineer                                                    Average Salary: $114,826
  • ​Machine Learning Scientist                                                      Average Salary: $114,121
  • ​Applications Architect                                                               Average Salary: $113,757
  • Enterprise Architect                                                                   Average Salary: $110,663
  • Data Architect                                                                             Average Salary: $108,278
  • ​Data Engineer                                                                             Average Salary: $102,864
  • Business Intelligence (BI) Developer                                     Average Salary: $81,514
  • ​Statistician                                                                                 Average Salary: $76,884
  • Data Analyst                                                                                 Average Salary: $62, 453

Job Sectors for Data Science professionals

  • Healthcare & Pharmaceutical
  • Telecommunications
  • Internet and World wide web 
  • ​Energy Sector
  • Practical skills
  • Automotive Industry

Course Objectives

  • CO 1: To grow learners’ consistency and capacity on analysis and utilization of Data Science technologies 
  • CO 2: To grow learners’ problem-solving skills, deploying model skills and rise of Telematics experience
  • CO 3: To help learners’ to self-confidently develop software on Data Science requirements being adaptive to any tools and apply methods for Optimization with research 
  • ​CLO 4: Implementing Machine Learning/Deep Learning practicing tools under Unix/Linux, git and GitHub, and RStudio
  • ​CLO 5: Optimization of problems with a realtime project 

Careers in Data Science

  • Data Scientist                                                    Average Salary: $139,840
  • Machine Learning Engineer                        Average Salary: $114,826
  • ​Machine Learning Scientist                          Average Salary: $114,121
  • ​Applications Architect                                  Average Salary: $113,757
  • Enterprise Architect                                        Average Salary: $110,663
  • Data Architect                                                  Average Salary: $108,278
  • ​Data Engineer                                                  Average Salary: $102,864
  • Business Intelligence (BI) Developer          Average Salary: $81,514
  • ​Statistician                                                        Average Salary: $76,884
  • Data Analyst                                                      Average Salary: $62, 453

Job Sectors for Data Science professionals

  • Healthcare & Pharmaceutical
  • Telecommunications
  • Internet and World wide web 
  • ​Energy Sector
  • Practical skills
  • Automotive Industry

Course Objectives

  • CO 1: To grow learners’ consistency and capacity on analysis and utilization of Data Science technologies 
  • CO 2: To grow learners’ problem-solving skills, deploying model skills and rise of Telematics experience
  • CO 3: To help learners’ to self-confidently develop software on Data Science requirements being adaptive to any tools and apply methods for Optimization with research 
  • ​CLO 4: Implementing Machine Learning/Deep Learning practicing tools under Unix/Linux, git and GitHub, and RStudio
  • ​CLO 5: Optimization of problems with a realtime project 

Subscribe to our Email List and register for the course to gain access to slack {Access to Student Community , Job Opportunity drops, Early Assignment Access (“Get Ahead”), Instructor Contact and Instant Access to live class}

First Name:

Email Address:

Phone Number:

Course Contents and Syllabus

Lesson 1: CLO 1: Programming Skills in Python and R Programming 

Contents

  • Programming Skills in Python (Syntax, token, variables, statements, functions, Library, I/O systems, File management) 
  • R Programming Skills (Syntax, token, variables, statements, functions, Library, I/O systems, File management)
  • Data Science methodologies and functions in Python and R Programming, Database concepts

Lesson 2: CLO 2: Application of Statistical concepts such as probability, inference, and modeling in practice

Contents

  • Mean, Median & Mode 
  • Linear Regression
  • Multiple Regression
  • ​Logistic Regression
  • ​Normal Distribution
  • ​Binomial Distribution
  • ​Poisson Regression
  • ​Analysis of Covariance
  • ​Time Series Analysis
  • ​Nonlinear Least Square
  • ​Decision Tree
  • ​Random Forest
  • ​Survival Analysis
  • ​Chi Square Tests

Lesson 3: CLO 3: Learning of Data visualization with tidyverse, ggplot2 and data wrangling tools with dplyr

Contents

Implementation of methods:

  • tidyverse 
  • ggplot2
  • dplyr
  • ​pandas
  • ​scikit-learn
  • ​statsmodels

Lesson 4: CLO 4: Implementing Machine Learning/Deep Learning practicing tools under Unix/Linux, git and GitHub, and RStudio

Contents

Machine Learning using Unix/Linux, git and GitHub, and RStudio

  • Understand parametric and non-parametric algorithms, clustering, dimensionality reduction, among other important topics.
  • Real-world based case studies on algorithms to build smart robots, understand text, audio, database mining.

Deep Learning using Unix/Linux, git and GitHub, and RStudio

  • Learn about convolutional networks, RNNs, BatchNorm, Dropout and more.
  • Different techniques to solve real-life problems
  • ​Real-world case studies in fields such as healthcare, autonomous driving, sign language reading, music generation, and natural language processing are covered

Lesson 5: CLO 5: Optimization of problems with a Realtime project 

Contents

  • Optimization techniques in algorithms
  • Asymptotic Analysis
  • ​Case Study (Real time)

Course Contents and Syllabus

Lesson 1: CLO 1: Programming Skills in Python and R Programming 

Contents

  • Programming Skills in Python (Syntax, token, variables, statements, functions, Library, I/O systems, File management) 
  • R Programming Skills (Syntax, token, variables, statements, functions, Library, I/O systems, File management)
  • Data Science methodologies and functions in Python and R Programming, Database concepts

Lesson 2: CLO 2: Application of Statistical concepts such as probability, inference, and modeling in practice

Contents

  • Mean, Median & Mode 
  • Linear Regression
  • Multiple Regression
  • ​Logistic Regression
  • ​Normal Distribution
  • ​Binomial Distribution
  • ​Poisson Regression
  • ​Analysis of Covariance
  • ​Time Series Analysis
  • ​Nonlinear Least Square
  • ​Decision Tree
  • ​Random Forest
  • ​Survival Analysis
  • ​Chi Square Tests

Lesson 3: CLO 3: Learning of Data visualization with tidyverse, ggplot2 and data wrangling tools with dplyr

Contents

Implementation of methods:

  • tidyverse 
  • ggplot2
  • dplyr
  • ​pandas
  • ​scikit-learn
  • ​statsmodels

Lesson 4: CLO 4: Implementing Machine Learning/Deep Learning practicing tools under Unix/Linux, git and GitHub, and RStudio

Contents

Machine Learning using Unix/Linux, git and GitHub, and RStudio

  • Understand parametric and non-parametric algorithms, clustering, dimensionality reduction, among other important topics.
  • Real-world based case studies on algorithms to build smart robots, understand text, audio, database mining.

Deep Learning using Unix/Linux, git and GitHub, and RStudio

  • Learn about convolutional networks, RNNs, BatchNorm, Dropout and more.
  • Different techniques to solve real-life problems
  • ​Real-world case studies in fields such as healthcare, autonomous driving, sign language reading, music generation, and natural language processing are covered

Lesson 5: CLO 5: Optimization of problems with a Realtime project 

Contents

  • Optimization techniques in algorithms
  • Asymptotic Analysis
  • ​Case Study (Real time)

Subscribe to our Email List and register for the course to gain access to slack {Access to Student Community , Job Opportunity drops, Early Assignment Access (“Get Ahead”), Instructor Contact and Instant Access to live class}

First Name:

Email Address:

Phone Number:

Subscribe to our Email List and register for the course to gain access to slack {Access to Student Community , Job Opportunity drops, Early Assignment Access (“Get Ahead”), Instructor Contact and Instant Access to live class}

First Name:

Email Address:

Phone Number:

CLASS HOURS AND DETAILED LECTURE PLAN

There will be 10 weeks for the total academic session. 

MEDIUM OF INSTRUCTION AND ASSESSMENT 

The medium of instruction and answer in the examination scripts shall be in English.


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