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Learn Data Science with python to become a data scientist , in our professional training program to understand how to implement Data Science in various business scenarios with the help of project implementation using Python. We are starting from Introduction to data science, how data is important, how we can play with data including complete Data Science life cycle concepts from Data Collection, Data Extraction, Data Cleansing using Python , Data Exploration, Data Transformation, Data Mining, building Prediction models, Data Visualization, Statistical Analysis, Text Mining, Regression Modelling, Hypothesis Testing, Predictive Analytics, Machine Learning, Deep Learning, Neural Networks, Natural Language Processing, Predictive Modelling. You will be learn Data Manipulation, Data Analysis with Statistics Data Communication with Information in our Data Science certification training.

Duration : 25 hours

Fee: 438

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Date Time Type Attend
14th May 2024 8:00 AM   IST Regular
11th May 2024 7:00 AM   IST Demo
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  • 24 hours on-demand video
  • Articles
  • Coding Exercises
  • Full lifetime access
  • Certificate of Completion

Module of Training


Live presentation of theory, demonstration of tool, features & tasks

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Get practice environment for practical & hands-on Training curriculum has been designed by real-time industry professionals & real-time scenarios training pattern


Learn as per day-wise & customized schedule with discussions & lab exercises included

One to one or Batch-wise interactive demonstration of a tool, features and 100% practical classes

World-class learning material & case studies for the course

Completely customizable course content & schedule as per convenience

Certification guidance provided if necessary


Data Science certification Training Download  

What is Data science?
Data science is a domain and it's a combination of expertise in programming, knowledge of mathematics and statistics to extract meaningful insights from given data of any Industry. And practitioners may apply ML algorithms to numbers, text, images, video, audio, and more that can perform tasks which generate insights that analysts and business users translate into tangible business value.

Why to learn data Science?
Data science continues to evolve as one of the most promising and in-demand career paths for skilled professionals. There is a growing need among companies for professionals to know ins and outs of Data Scientists. A successful data professionals can understand or to uncover useful intelligence for organizations. They  possess a level of flexibility and understanding to maximize returns at each phase of the process.

What Does a Data Scientist Do?
Data Scientist need to possess a strong quantitative background in statistics and linear algebra as well as programming knowledge with focuses in data warehousing, mining, and modeling to build and analyze algorithms. Leadership quality needed to deliver tangible results to various stakeholders across an organization or business. 

It's Really Good to Be a Data Scientist Right Now!
Data is the new corporate currency, as advancing impact on the data science sector is far-reaching and, as a result, a range of new roles and skill-set are in demand. The skills required as a data analyst, IT architect, test manager and data visualise are all required under the data science umbrella. The average salary for a data scientist was more than $111,000 in 2016, and the Bureau of Labour Statistics predicts that jobs in this field will grow by 11% by 2024

Acquire new skills with our Online Data Science Training Course

  • Thorough knowledge of the statistical approach
  • Master in concepts of Predictive Analytics using Python, and how they relate to practical approach.
  • Machine Learning and how to Validate machine learning models 
  • Experts in Data Visualization,
  • Gain practical knowledge over Big Data and Analytics, etc

This training course does not presume or require any prior knowledge or prerequisites. However, basic knowledge would be an added advantageous. We are recommending,  knowledge of programming languages like...

  • Python
  • Perl 
  • C/C++
  • SQL
  • Java 
  • And python skills that are required to become a data scientist

Course Overview

If you want to accelerate your career with Data Science certification program, world class experienced Trainers and faculty. Encourage yourself and become to master in trending data scientist skills including statistics, hypothesis testing, data mining. We are covering clustering, decision trees, linear and logistic regression, data wrangling, data visualization, regression models, Hadoop, Spark, PROC SQL, SAS Macros, recommendation engine, supervised and unsupervised learning and more. Our certification Program covers online instructor-led training classes including a lot of case studies, real time project working, and machine learning working concepts, expert guidance for certification. After completion of training candidate has expertise over concepts, mathematical computing, SciPy package and its sub-packages such as Integrate, Optimize, Statistics, IO, and Weave, linear regression, logistic regression, clustering, dimensionality reduction, K-NN and pipeline. Mastering in concepts of recommendation engine, time series modeling, practical mastery over principles, algorithms and more..

Introduction to Data Science Online Training Course Curriculum

Introduction to Data Science

  • What is Data Science?
  • Data Scientists
  • Examples of Data Science
  • Python for Data Science

Data Analytics Overview

  • Data Visualization
  • Processes in Data Science
  • Data Wrangling, Data Exploration, and Model Selection
  • Exploratory Data Analysis or EDA
  • Data Visualization
  • Plotting
  • Hypothesis Building and Testing

Statistical Analysis and Business Applications

  • Introduction to Statistics
  • Statistical and Non-Statistical Analysis
  • Some Common Terms Used in Statistics
  • Data Distribution: Central Tendency, Percentiles, Dispersion
  • Histogram
  • Bell Curve
  • Hypothesis Testing
  • Chi-Square Test
  • Correlation Matrix
  • Inferential Statistics

Python: Environment Setup and Essentials

  • Introduction to Anaconda
  • Installation of Anaconda Python Distribution - For Windows, Mac OS, and Linux
  • Jupyter Notebook Installation
  • Jupyter Notebook Introduction
  • Variable Assignment
  • Basic Data Types: Integer, Float, String, None, and Boolean; Typecasting
  • Creating, accessing, and slicing tuples
  • Creating, accessing, and slicing lists
  • Creating, viewing, accessing, and modifying dicts
  • Creating and using operations on sets
  • Basic Operators: 'in', '+', '*'
  • Functions
  • Control Flow

Mathematical Computing with Python (NumPy)

  • NumPy Overview
  • Properties, Purpose, and Types of ndarray
  • Class and Attributes of ndarray Object
  • Basic Operations: Concept and Examples
  • Accessing Array Elements: Indexing, Slicing, Iteration, Indexing with Boolean Arrays
  • Copy and Views
  • Universal Functions (ufunc)
  • Shape Manipulation
  • Broadcasting
  • Linear Algebra

Scientific computing with Python (Scipy)

  • SciPy and its Characteristics
  • SciPy sub-packages
  • SciPy sub-packages –Integration
  • SciPy sub-packages – Optimize
  • Linear Algebra
  • SciPy sub-packages – Statistics
  • SciPy sub-packages – Weave
  • SciPy sub-packages - 10

Data Manipulation with Python (Pandas)

  • Introduction to Pandas
  • Data Structures
  • Series
  • DataFrame
  • Missing Values
  • Data Operations
  • Data Standardization
  • Pandas File Read and Write Support
  • SQL Operation

Machine Learning with Python (Scikit–Learn)- Overview

  • Introduction to Machine Learning
  • Machine Learning Approach
  • How Supervised and Unsupervised Learning Models Work
  • Scikit-Learn
  • Supervised Learning Models - Linear Regression
  • Supervised Learning Models: Logistic Regression
  • K Nearest Neighbors (K-NN) Model
  • Unsupervised Learning Models: Clustering
  • Unsupervised Learning Models: Dimensionality Reduction
  • Pipeline
  • Model Persistence
  • Model Evaluation - Metric Functions

Natural Language Processing with Scikit-Learn- Overview

  • NLP Overview
  • NLP Approach for Text Data
  • NLP Environment Setup
  • NLP Sentence analysis
  • NLP Applications
  • Major NLP Libraries
  • Scikit-Learn Approach
  • Scikit - Learn Approach Built - in Modules
  • Scikit - Learn Approach Feature Extraction
  • Bag of Words
  • Extraction Considerations
  • Scikit - Learn Approach Model Training
  • Scikit - Learn Grid Search and Multiple Parameters
  • Pipeline

Data Visualization in Python using Chart JS 

  • Introduction to Data Visualization 

â–º ChartJS

  • Libraries 
  • Chart JS Features
  • Labels
  • Data
  • Datasets
  • Controlling Line Patterns and Colours 
  • Set Axis, Labels, and Legend Properties 
  • Annotation 
  • Different Types of Charts

Data Science with Python Web Scraping- Overview

  • Web Scraping
  • Common Data/Page Formats on The Web
  • The Parser
  • Importance of Objects
  • Understanding the Tree
  • Searching the Tree
  • Navigating options
  • Modifying the Tree
  • Parsing Only Part of the Document
  • Printing and Formatting
  • Encoding

Student Take away

  • Study Material
  • Learning stuff
  • Sample project for practice

Class Delievery 

  • Live Interactive classes with expert

Delievery  Methodology
We are using an experiential delievering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course

Who should Learn Data Science certification Training?

  • Any IT experienced Professional
  • Who wants to make a career in python web development
  • Software automation
  • Data Analytics
  • Fresh Graduates
  • Any B.E/ B.Tech/ BSC/ MCA/ M.Sc Computers/ M.Tech/ BCA/ B.Com College Students in any stream

Prerequisite to learn Data Science certification Training

This certification training course does not presume or require any prior knowledge on Python for Data Science. 
To understand the concepts, useful to know basic knowledge of application. We are recommending that students have following:

  • Basic understanding of Computer Programming Languages

Delivery Methodology used to deliver the Data Science certification Training

We are using an experiential delivering methodology that blends theoretical concepts with hands-on practical learning to ensure a holistic understanding of the subject or course.

Class delivery

Live Interactive classes with expert

Data Science certification Training FAQ

Question: Can I attend the Demo session before enrollment?

Answer: Yes, you may attend the Demo class before enrollment for training Quality Evaluation. You can also Interact with a trainer as one to one session for a specific requirement or discussion

Question: Can you schedule the training based upon my availability?

Answer: Yes, we need to discuss it with a trainer, accordingly, we can schedule training at a convenient time.

Question: How I can pay for the course?

Answer: You can pay the fee or enroll yourself via payment gateway through the course page, make an online payment using various options.

Question: What if I missed any class?

Answer: BISP has a missing class policy. If you missed any session, we will be sharing a recorded session. However, you may retake whole training multiple times within 6 month period but the trainer is the same.

Question: Is there any live project training along with regular training?

Answer: Our training curriculum includes real-time scenarios and lives project working module & the trainer explains every topic with examples. If you have any issue or you are stuck in any scenario the trainer will explain end-to-end.

Question: What about certification preparation and guidance?

Answer: BISP technical faculty assist & guide you completely for certification and preparation. We ensure you will get certified easily after our training.

Question: Who is the trainer & about his experience?

Answer: All our trainers are working professionals and industry experts with at least 10-12 years of relevant teaching experience. Each of them has gone through a rigorous selection process which includes profile screening, technical evaluation, and a training demo We also ensure that only those trainers with a high alumni rating continue to train for us.

Question: Do you provide Job support?

Answer: Yes, we provide Job support services, but the cost structure is different and fixed. For more details: Just give us a call at: +91 769-409-5404 & +1 678-701-4914 You can also write to us: support@bisptrainings.com

Question: What if I have more queries and doubts?

Answer: Just give us call at : +91 769-409-5404 & +1 678-701-4914 You can also write to us: support@bisptrainings.com

Question: How Fee Refund Policy works?

Answer: Please refer the link for refund policy: https://www.bisptrainings.com/Refund-Policy

Case Study and Learning Pdf's


Benefits of Certificate

Certification demonstrates your dedication, motivation and technical knowledge on a specific platform. Having a certification shows that you not only possess comprehensive knowledge of that technology but you also care enough about your own career to spend the time and money to get the certification.

We are welcoming our Students or professionals to participate in our professional online courses. We are offering great variety of online training programs and professional courses that you can always find as desired. After the completion of training program they will receive a certificate from BISP. As a Certified professional you can apply that knowledge in your future profession and enjoy with better salaries & career prospects.

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