(CDS®) Certified DataScientist Training

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

Examination

Eligibility

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.