(CDS®) Certified DataScientist Training

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Overview

In the Past Decade, Python and R programming become most preferred sowtware languages for Data Science and it considered as more powerful and flexible platforms for building DataScience systems with Subject Matter Codes and Algorithms. Python and R Programming with Data Analytics is designed to provide in depth knowledge on data Prediction and its techniques.

Data Science

Data science is a combination of specific scientific methods, processes, algorithms, programs and systems to extract knowledge and gain accurate outcome from various forms of data.

Data science is a structure "to practice or science of collecting and analyzing large quantity of data, data analysis, machine learning and their related methods" in order to "understand and analyze actual fact" with data. It state, techniques and theories drawn from many fields within the context of mathematics, statistics, information science, and computer science.

In the domain of data science, we are concerned with solving a problem or answering a question through analyzing data Often, we construct a model of some sort to predict outcomes or discover underlying patterns > predictive & descriptive models, Goal of modeling is to gain insights from which we can formulate actions to influence future outcomes or behaviors. For our purpose, we need a data science methodology to guide us in achieving our organization goals.

Data Science using the scientific method -The Scientific method as a on-going process

  • Develop General Theories
  • Think of Interesting Questions
  • Formulate hypotheses
  • Develop Testable Predictions
  • Gather Data to test predictions
  • Refine, Alter, Expand or Reject Hypotheses

Course Outcomes

  • Using Python Programming + Data Analytics Tools + SQL + Business Aspects + Tableau Software + Machine Learning Algorithms
  • Students will develop relevant programming abilities
  • ITechGurus training course is mainly focussed on Python for core data science programing, it also includes R as necessary to enable professionals working in R
  • Demonstrate proficiency with statistical analysis of data
  • Develop the ability to build and assess data-based models
  • Execute statistical analyses with professional statistical software
  • Demonstrate skill in data management
  • Apply data science concepts and methods to solve problems in real-world contexts and will communicate these solutions effectively
  • This course allows candidates to obtain an in-depth knowledge by laying a strong foundation and covering all the latest data science topics.
  • Professional Responsibilities and ethics
  • Increase your opportunities for career development and for increased earnings

Python libraries for data Analysis

    Standard Python libraries useful for Data Analysis with Python are:
  • Pandas - for data munging and preparation
  • NumPy - abundance of useful features for operations on n-arrays and matrices in Python
  • SciPy - library of software for engineering and science
  • Matplotlib - tailored for the generation of simple and powerful visualizations
  • Statsmodels - data exploration by using methods of estimation of statistical models
  • scikit-learn - concise & consistent interface to the common ML algorithms
  • Seaborn - visualization of statistical models; based & highly dependent on Matplotlib
  • Bokeh - is aimed at interactive visualizations; independent of Matplotlib - main focus is interactivity, with presentation via modern browsers in the style of Data-Driven Documents
  • Plotly - web-based toolbox for building visualizations, exposing APIs to Python, etc..
  • Theano / TensorFlow / Keras
  • NLTK - Natural Language Toolkit - tasks of symbolic & statistical NL processing
  • Gensim / Scrapy
  • Dataiku’s Data Science Studio

Notebooks & Workbenches for Data

  • Jupyter Notebook (formerly IPython)
  • Apache Zeppelin
  • BeakerX (Beaker Notebook)
  • IBM Watson Studio - a platform for data scientists
  • Databricks Unified Analytics Platform
  • Cloudera Data Science Workbench
  • MapR Data Science Refinery
  • Dataiku’s Data Science Studio
Qualification Experience Target Audience
Bachelor Degree (or) Master Degree (or) Diploma (or) Global Equivalent Not Required

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

Examination

  • 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

Course Agenda

DataScience with Phyton

Python for Data Science

  • Anaconda Installation & Jupyter
  • Python Basics
  • Data Structures in Python
  • Control & Loop Statements in Python
  • Functions & Classes in Python
  • Working with Data

Time Series Forecasting

  • Understand Time Series Data
  • Visualizing Time Series Components
  • Exponential Smoothing
  • Holt’s Model
  • Holt-Winter’s Model
  • ARIMA
  • ARCH & GARCH

Data Frame Manipulation

  • Data Acquisition (Import & Export)
  • Indexing
  • Selection and Filtering Sorting & Summarizing
  • Descriptive Statistics
  • Combining and Merging Data Frames
  • Removing Duplicates
  • Discretization and Binning
  • String Manipulation

Unsupervised Learnings

  • K-Means Clustering

Exploration Data Analysis

  • Data Visualization & EDA

Dimensionality Reduction

  • Principal Component Analysis (PCA)
  • Scree Plot
  • One-Eigen Value Criterion
  • Factor Analysis

Data Science with R

    Exploratory Data Analysis with R

  • Merge, Rollup, Transpose and Append
  • Missing Analysis and Treatment
  • Outlier Analysis and Treatment
  • Summarizing and Visualizing the Important Characteristics of Data
  • Univariate, Bivariate Analysis
  • Crosstabs, Correlation

Logistic Regression

  • Implementing Logistic Regression
  • Making Sense of Result Parameters: Wald Test, Likelihood Ratio Test Statistic, Chi-Square Test Goodness of Fit Measures
  • Model Validation: Cross Validation, ROC Curve, Confusion Matrix

Linear Regression

  • What is Regression Analysis
  • Covariance and Correlation
  • Multivariate Analysis
  • Assumptions of Linearity Hypothesis Testing
  • Limitations of Regression
  • Implementing Simple & Multiple Linear Regression
  • Making Sense of Result Parameters
  • Model Validation
  • Handling Other Issues/Assumptions in Linear Regression
  • Handling Outliers, Categorical Variables, Autocorrelation, Multicollinearity, Heteroskedasticity Prediction and Confidence Intervals

Logistic Regression

  • Implementing Logistic Regression
  • Making Sense of Result Parameters: Wald Test, Likelihood Ratio Test Statistic, Chi-Square Test Goodness of Fit Measures
  • Model Validation: Cross Validation, ROC Curve, Confusion Matrix

Decision Trees

  • Introduction to Predictive Modelling with Decision Trees
  • Entropy & Information Gain
  • Standard Deviation Reduction (SDR)
  • Overfitting Problem
  • Cross Validation for Overfitting Problem
  • Running as a Solution for Overfitting

Data Visualization with Tableau

Tableau Basics

  • Introduction to Visualization
  • Working with Tableau
  • Visualization in Depth
  • Data Organisation
  • Advanced Visualization
  • Mapping
  • Enterprise Dashboards Data Presentation

Best Practices for Dashboarding and Reporting and Case Study

  • Have a Methodology
  • Know Your Audience
  • Define Resulting Actions
  • Classify Your Dashboard
  • Profile Your Data
  • Use Visual Features Properly
  • Design Iteratively

Training Schedule

COURSE TRAINING MODEL START DATE  SCHEDULE AND TIME LOCATION COURSE FEE ENROLL
(CDS®) Certified DataScientist Training Classroom Training MAY 30 2020 (Weekends Class) Weekends Class - 09 AM - 6 PM Chennai | Bangalore | Pune 35999 + Tax Enroll

Who can Learn

Graduates who are looking to build a career in Data Science and Machine Learning

  • Candidates who want to be a Data Scientist, Big Data Analysis, Analytics Manager/Professionals, Business Analyst, Developer
  • Employees – Organization is planning to shift to DataScience

Mid-level Executives and Managers who want to learn Data Science

Eligibility

Qualification Experience
Any Degree (or) Diploma (or) Global Equivalent Not Mandatory

Faq (Frequently Asked Questions)

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 DataScience 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 DataScience 

96 Hours (12 Days) 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?

Providing 100% Placement Assurance accross 4600 Companies

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?

Yes.

Can I approach Corporate with ITechGurus

You can get the customized quote for your Needs of Corporate training.

Is this Course Including the Certification Exam 

Yes.

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 CDS - Certified DataScience Exam? 

  • Membership fee: 10 USD
  • Exam Fee: $210
  • 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)
  • Paypal
  • Bank Transfer (ACH)
  • Check

DO you Share Trainer Details with Candidates? 

Yes, Off Course, You Can Interact trainer after Enrollment (or) you can get trainer profile before enrolment.

faq

Watch the Course Video

Data Science Certification Training

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Testimonials

Madhusudan Reddy
Asst Project Manager at Rec Power Distribution Company Limited (Recpdcl)

Hu guys...

Just cleared my PMP exam...🙏thanks to Chandramouli sir for proper guidance & training 

🙏thanks to Prashant for support. 

 

Please find my experience/inputs

1. I gone through a Training session last year but could not found proper way to cover all the concepts

2. Luckily I came to know about Mr. Chandramouli sir and gone through his training it has changed my approach/view towards PMBoK

3. I have gone through PMBoK twice by following Chandramouli Sir’s training

4. I have not attempted Mock Tests & not gone through Rita

5. I have utilizes the PMP Preparation material provided in “Library” tab.

6. Most of the questions are scenario based (same scenarios repeated for 2 to 3 questions)

7. 4 to 5 questions on matching the concepts

8. 60% questions on Agile and Hybrid methodologies

9. I spent 2 to 3 hours daily for 1 month

I once again thank Mr. Chandramouli Sir for his training and Mr. Prashant for his support throughout the sessions.

 - Madhusudan Reddy

Srinivas CS
Deputy Manager - PMO at Reliance Jio Infocomm limited

I passed the PMP exam today with Above target on all domains

Special thanks to Mouli sir who trained in learning the concepts n understanding it

And special thanks to Prasanth sir for constant support.

1. Grid wise preparation - 4 grids based on my weak spots and more importance to people domain n agile

2. knowledge area wise
1st pmbok , Rita , Rita qns bank, udemy chapte and and then move to next knowledge area

3. Then took classmaker 4 model exams and scored 80%

4. One major risk which I took didn't give LMS final exam and booked the PMP exam which made me very under confident when I was giving today the exam. Plz do not take this risk anyday.🙏

4. Then booked exam with 5 days gap n prepared n gave it today

About exam

Totally different. Almost 100% all scenario based only, not even one calculation problem came. No direct definition given n asked wht is this process and all. 
Actually I under estimated this exam n after giving model exam n this particular PMP is totally different n situation based only for me today

Most of qns I feel came from people domain n agile mostly. 

So when direct and were not asked I was little under confident whether I would pass this exam comfortably but I cleared with Above target bcoz of understanding concept and situation I think

One more thing I made mistake I feel is
Time management
Very very important

I took 90 to 100 mins for first 60 qns and rushed with next 120 qns madly without taking a single break. So too much of tension till last whether I ll pass or not

But God helped n passed with high scoring I suppose

🙏🙏🙏

Viswanath Nagarajan
Project Manager @ Cognizant

Hi Prasanth & Friends, happy to tell you I just cleared PMP!! 

Please find some of my feedback and observations:
- Chandramouli sir's class was very practical
- His teaching and examples out of experience set clarity of many concepts
- Exam pattern of 180 questions with two 10 min breaks is better one
- Most of questions on Agile
- Many questions have two likely correct answers, hence read questions thoroughly
- Only 3 questions on formula (CPI/SPI), even that I haven't memorised the formula but approached in a practical way said by Chandramouli sir
- Upto 10 questions to match the following
- Resources provided during training and e-learning is suffice to clear exam
- Some questions are repeating with different sentence/scenario, hence be attentive always
- 230 mins for 180 questions is adequate timing for exam

 

Trainers and Consultants

Manickavel Arumugam

Manickavel Arumugam

Project Management Consultant

Highlights: ✪ About 23 years of experience in construction, with emphasis on Project Management & Site Control...
Venkatramvasi

Venkatramvasi

Chief Knowledge Officer

Experienced in AS/400 (RPG III, RPG IV,CL), Synon/2E Training Experienced in ISO audits PMI Volunteer...
Chandramouli S

Chandramouli S

Digital Leader

My vast experience includes Program management, corporate and Project governance, customer relationship management,...
Shriram Kumar

Shriram Kumar

Sr.Delivery Mgr

Experienced Project Manager with a demonstrated history of working in the information technology and services...
Mohamed Noordeen

Mohamed Noordeen

Lead Data Scientist

I am an aspiring candidate with ardent desire to excel in my position where ever and whatever I am...
Venkatramvasi

Shriram Venkat Peddhibhotla

Executive Manager

Executive Manager (Process Excellence & PMO) at Deloitte US India Offices
Sanjay kumar

Sanjay kumar

Founder / Managing Partner

ITechGurus, Organization founded in 2013 to provide world class solutions for professional education and training...
Karthick

Karthick

Director - Business Development

An accomplished, results driven professional with almost 10 years of experience in professional services...

Our Course Packages

Classroom

₹ 35999
2 Months

Enroll

Online Course

₹ 35999
4 Months

Enroll