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DataScience with Machine Learning Course

Six Sigma Green Belt

  • Duration

    80 Hours



DataScience with Machine Learning Course

  • In the Past Decade, Python and R programming become most preferred languages for Data Science and considered as more powerful and flexible platforms for building Machine Learning systems with Subject Matter Codes and Algorithms. Python and R Programming with Machine Learning is designed to provide in depth knowledge on building Machine Learning algorithms

    What Is Data Science?
    Data science is a term used for dealing with big data that includes data collection, cleansing, preparation and analysis for various purposes. A data scientist collects data from multiple sources and after analysis applies into predictive analysis or machine learning and sentiment analysis to extract the critical information from the data sets. These data scientists analysis and understand the data from business perspective and give useful insights and accurate predictions that can be used while taking critical business decisions.

    What is Machine Learning? 
    Machine Learning is a In-dept knowledge of Artificial Intelligence to be focus on design and to development a software coding and algorithms that learn, identify and calculate the patterns that exist in data provided as input. Artificial intelligence is the catalyst for IR 4.0. This innovation will set an additional or a new approach of governing and managing organizations. Machine learning techniques enable us to automatically extract features from data so as to solve predictive tasks, such as speech recognition, object recognition, machine translation, question-answering, anomaly detection, medical diagnosis and prognosis, automatic algorithm configuration, personalisation, robot control, time series forecasting, and much more. Learning systems adapt so that they can solve new tasks, related to previously encountered tasks, more efficiently.
    Machine Learning is defined as a practice of using the suitable algorithms to utilize the data for learning and predict the future trend for a particular area. Machine learning software contains the statistical and predictive analysis that used to recognize the patterns and find the hidden insights based on perceived data. The best examples of machine learning application is Virtual assistant devices like for example: Amazon’s Aleza, Google Assistance, Apple’s Siri, Microsoft’s Cortana and social platforms like Facebook works on Machine learning principles and predict or respond as per the past behavior of the users to suggest them the most suitable things.
    Both data science and machine learning as a service has its own use and important into various fields but both are based on data that can be gathered, analyzed and applied into predicting certain answers in a specific filed. Data science is simply related with data gathering and analysis while machine learning datasets are the process of feeding data sets for training the machines with the help of certain algorithms as per the requirements.

    Machine Learning Algorithms 
    Generally, there are 3 types of learning algorithm:

    • Supervised Machine Learning Algorithms: To make predictions, we use this machine learning algorithm. Further, this algorithm searches for patterns within the value labels that was assigned to data points.
    • Unsupervised Machine Learning Algorithms: No labels are associated with data points. Also, these machine learning algorithms organize the data into a group of clusters. Moreover, it needs to describe its structure. Also, to make complex data look simple and organized for analysis.
    • Reinforcement Machine Learning Algorithms – We use these algorithms to choose an action. Also, we can see that it is based on each data point. Moreover, after some time the algorithm changes its strategy to learn better. Also, achieve the best reward.

    Course Outcome & Benefits of ITechGurus – 

    • Have a good understanding and challenges of machine learning: data, model selection, model complexity, etc
    • Learn R/PYTHON Programming, SQL, Machine Learning Algorithms, Data Analytics, Business aspects and Tableau Software
    • Study Materials and workbooks
    • 6 Months Live Projects
    • Professional Responsibilities and ethics
    • Increase your opportunities for career advancement and for increased earnings


    Certification Prerequisites Target Audience
     DataScience Certified Professional with Machine Learning (DSCP-ML®) Degree (or) Diploma Candidates who want to be a Data Scientist, Big Data Analyst, Analytics Manager/Professionals, Business Analyst, Software Developer, Programmers, Team leaders, Business Analyst, Data Base Analyst and executives.

    • Graduates who are looking to build a career in Data Science and Machine Learning
    • Employees – Organization is planning to shift to Big data tools

    Mid-level Executives, Managers with Knowledge of basic programming


    DSCP-ML® (DataScientist Certified Professional with Machine Learning) is a globally recognized Data Scientist Certification offered by BRAINskills. BRAINskills is only an authorization body certifying institutes as REP (Registered Education Partners) , who are aligned with BRAINskills Training Curriculum. These institutes are audited by BRAINskills™ through onsite audit to ensure the Training requirements and knowledge of trainers.

  • COURSE 1: Python for Data Science

    • Module 1 – Introduction to Data Science with Python
    • Module 2 – Python Basics: Basic Syntax, Data Structures
    • Module 3 – Numppy Package
    • Module 4 – Pandas Package
    • Module 5 – Python Advanced: Data Mugging with Pandas
    • Module 6 – Python Advanced: Visualization with MatPlotLib
    • Module 7 – Exploratory Data Analysis: Case Study

    COURSE 2: Statistics for Data Science

    • Module 1: Introduction to Statistics
    • Module 2: Harnessing Data
    • Module 3: Exploratory Analysis
    • Module 4: Distributions
    • Module 5: Hypothesis & computational Techniques
    • Module 6: Correlation & Regression

    COURSE 3 : Machine Learning Associate

    • Module 1: Machine Learning Introduction
    • Module 2: Machine Learning Algorithms
    • Module 3: Supervised Learning
    • Module 4: Unsupervised Learning

    COURSE 4 : Advanced Machine Learning

    • Module 1: Advanced Machine Learning Concepts
    • Module 2: Principle Component Analysis (PCA)
    • Module 3: Random Forest – Ensemble
    • Module 4: Support Vector Machine (SVM)
    • Module 5: Natural Language Processing (NLP)
    • Module 6: Naïve Bayes Classifier
    • Module 7: Artificial Neural Network (ANN)
    • Module 8: Tensorflow overview and Deep Learning Introduction

    COURSE 5 : Tableau Foundation

    • Module 1: Tableau Introduction
    • Module 2: Connecting to Data Source
    • Module 3: Visual Analytics
    • Module 4: Forecasting

    COURSE 6 : Data Science Business Concepts

    • Module 1: Understanding Business Case
    • Module 2: Writing Data Science Business Case
    • Module 3: Benefits Analysis
    • Module 4: Starting project, Setting up Team and closing

    Review & Exam• Certification Exam

  • • Multiple Choice
    • 60 questions per exam
    • One mark awarded for every right answer
    • No negative marks for wrong answers
    • 120 minutes duration
    • Proctored online exam
  • Candidates who want to be a Data Scientist, Big Data Analysis, Analytics Manager/Professionals, Business Analyst, Developer

    • Graduates who are looking to build a career in Data Science and Machine Learning
    • Employees – Organization is planning to shift to Big data tools

    Mid-level Executives, Managers with Knowledge of basic programming

  • Degree (or) Diplomo


    Professionals can get training through our Online (or) Classroom Platform achieve knowledge and Certification.

  • What does Data Science?
    Data science is an Field that uses scientific methods, processes, algorithms and systems to extract knowledge and insights from data in various forms, both structured and unstructured, similar to data gathering and mining. Data science is a “concept to unify statistics, data analysis, machine learning and their related methods” in order to “understand and analyze actual phenomena” with data. It employs techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.

    Why this Course?
    This course comes as a perfect package of required Data Science skills including programing , statistics and Machine Learning. If you aspire to be Data Science professionals, this course can immensely help you to reach your goal.

    What is the Scope of Machine Learning in Future?
    Forbes Statistics shows, By 2020 the number of Data Science and Analytics job listings is projected to grow by nearly 364,000 listings to approximately 2,720,000.

    How many days take to learn the complete Data Science Program in Machine Learning 
    80 Hours of Classroom training is enough to update your skills, tools, techniques and knowledge about the data science and Machine Learning Programs.

    Am i eligible after Higher Secondary Schooling?
    Off-course, You can take this training after Higher Secondary

    What about Job Assistance?
    After completing this course, if you are fresh for ths industry. you have to work on our Live projects for 6 Months amd we will give assistance for Placement.
    If you have a realtime experience in data science, We will immediately help you to place in MNC’s

    What are the courses offered® by ITechGurus?
    ITechGurus offers various courses like Agile®, PMP®, CAPM®, PgMP®, RMP®, SixSigma, Digital Marketing, Data Science, Machine Learning, Artificial Intelligence, Scrum and etc,,

    Am I allowed to take breaks during the training?

    Can I approach Corporate with ITechGurus
    You can get the customized quote for your Needs of Corporate training.

    What kind of organization is BRAINskills.org 
    BRAINskills.org is a Global Governing body for Data Science and Machine learning Certifications.

    Can I interact with Data Science Mentors? 
    Yes, You can interact with all mentors directly with BRAINskills.org

    Does the fee include the examination fee as well? 
    Yes, Its including exam Fee

    Do I get a copy of the course certificate by post or by email? 
    We issue certificate soft copy by email at the end of the session.

    What is the cost of Data Science Certified in Machine Learning Exam? 
    Membership fee: 10 USD
    Exam Fee: 250 USD
    Exam Attempt: 3 Times

    Where can I find a list of upcoming workshops? 
    You can visit our Training/Events section in the homepage for various courses and you will be able to view the training schedules.

    Whom do I contact in case of any query regarding any of the Training? 
    For any course-related information, please email at Support@itechgurus.org or connect with us through live chat, or Direct Phone (9566008068).

    I want ITechGurus to conduct training at our company’s / Onsite. Whom should I contact? 
    Please contact our Training and Development team, Support@itechgurus.org to get addressed of the corporate training.

    How should I make the payment and what are the modes of payment available? Do I get a receipt or confirmation for the same? 
    Payments can be made using any of the following options and receipt of the same will be issued to the aspirants via email.
    Mode of Payments:
    Credit card / Debit card / internet banking (Online Payment)
    Bank Transfer (ACH)

    DO you Share Trainer Details with Candidates? 
    Yes, Off Course, You Can Interact trainer after Enrollment (or) you can get trainer profile before enrolment.