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Data Science with Python Course Training in Chandigarh Mohali

ThinkNEXT Technologies Private Limited introducing Data Science in Python training Course in Chandigarh Mohali. Here, you will learn about influential ways to store and manipulate data as well as cool data science tools to start your own analyses.
ThinkNEXT provides Data Science Training in Chandigarh Mohali from certified experts. Our course helps you to learn various data analytics techniques using Python programming. Data Science Course content is designed by experts to match with the real world requirements for both beginner and advanced level.
If you are looking for Data Science in Python Training in Chandigarh Mohali, Enroll for the Free Demo Session.
By doing this course you become master in data science skills and will help you to handle an interview with more confidence if you are looking for a job in data science domain.

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Awards and Achievements

8 Times National Award Winner Company

Indian Iconic Business Award from Amisha Patel
Iconic Business Summit Award from Jaya Prada
National Icon Award from Suniel Shetty for Best Digital Marketing Company in Chandigarh
Asias Quality Entreprenuership Award from Krisma Kapoor
National Gratitute Award from Sonali Bendre
Business Excellence Award form M. Satish Reddy
Business Learders Award from Surendra Pal
Nations Pride Award from Faggan Singh Kulaste

Data Science - Course Contents


Module1: Introduction

  • What Data Science?
  • Common Terms in Analytics
  • Analytics vs. Data warehousing, OLAP, MIS Reporting
  • Relevance in industry and need of the hour
  • Types of problems and business objectives in various industries
  • How leading companies are harnessing the power of analytics?
  • Critical success drivers
  • Overview of analytics tools & their popularity
  • Analytics Methodology & problem solving framework
  • List of steps in Analytics projects
  • Identify the most appropriate solution design for the given problem statement
  • Project plan for Analytics project & key milestones based on effort estimates
  • Build Resource plan for analytics project
  • Why Python for data science?

Module2:Core Python

  • Overview of Python- Starting with Python
  • Introduction to installation of Python
  • Introduction to Python Editors & IDE's
  • Python Syntax
  • Variables & Data Types
  • Operators
  • Conditional Statements
  • Working With Numbers & Strings
  • Collections API
  • LISTS
  • TUPLES .
  • DICTIONARY
  • Date and Time
  • Function & Modules
  • File handling
  • Exception Handling
  • OOPS Concepts in python
  • Regular Expression

Module 3: Python Libraries for Data Science

  • Numpy
  • Scify
  • pandas
  • scikitlearn
  • statmodels
  • nltk

Module 4: Python Modules for Access, Import/Export Data

  • Importing Data from various sources
  • Database Input
  • Viewing Data objects - subsetting, methods
  • Exporting Data to various formats
  • Important python modules: Pandas, beautiful soup

Module 5: Data Manipulation, Cleansing and Munging

  • Cleansing Data with Python
  • Data Manipulation steps
  • Data manipulation tools
  • Python Built-in Functions
  • Python User Defined Functions
  • Stripping out extraneous information
  • Normalizing data
  • Formatting data
  • Important Python modules for data manipulation

Module 6: Data Analysis and Visualization

  • Introduction exploratory data analysis
  • Descriptive statistics, Frequency Tables and summarization
  • Univariate Analysis(Distribution of data & Graphical Analysis)
  • Bivariate Analysis(Cross Tabs, Distributions & Relationships, Graphical Analysis)
  • Creating Graphs- Bar/pie/line chart/histogram/ boxplot/ scatter/ density etc.)
  • Important Packages for Exploratory Analysis(NumPy Arrays, Matplotlib, seaborn, Pandas and scipy.stats etc.)
  • Data visualization with tableau.

Module 7: Statistics

  • Basic Statistics - Measures of Central Tendencies and Variance
  • Building blocks - Probability Distributions - Normal distribution - Central Limit Theorem
  • Inferential Statistics -Sampling - Concept of Hypothesis Testing
  • Statistical Methods - Z/t-tests( One sample, independent, paired), Anova, Correlations and Chi-square
  • Important modules for statistical methods: Numpy, Scipy, Pandas

Module 8: Predictive Modeling

  • Concept of model in analytics and how it is used?
  • Common terminology used in analytics & modeling process
  • Popular modeling algorithms
  • Types of Business problems - Mapping of Techniques
  • Different Phases of Predictive Modeling

Module 9: Data Exploration for Modeling

  • Need for structured exploratory data
  • EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)
  • Identify missing data
  • Identify outliers data
  • Visualize the data trends and patterns

Module 10: Data Preparation

  • Need of Data preparation
  • Consolidation/Aggregation - Outlier treatment - Flat Liners - Missing values- Dummy creation - Variable Reduction
  • Variable Reduction Techniques - Factor & PCA Analysis

Module 11: Solving Segmentation Problems

  • Introduction to Segmentation
  • Types of Segmentation (Subjective Vs Objective, Heuristic Vs. Statistical)
  • Heuristic Segmentation Techniques (Value Based, RFM Segmentation and Life Stage Segmentation)
  • Behavioral Segmentation Techniques (K-Means Cluster Analysis)
  • Cluster evaluation and profiling - Identify cluster characteristics
  • Interpretation of results - Implementation on new data

Module 12: Linear Regression

  • Introduction - Applications
  • Assumptions of Linear Regression
  • Building Linear Regression Model
  • Understanding standard metrics (Variable significance, R-square/Adjusted R-square, Global hypothesis ,etc)
  • Assess the overall effectiveness of the model
  • Validation of Models (Re running Vs. Scoring)
  • Standard Business Outputs (Decile Analysis, Error distribution (histogram), Model equation, drivers etc.)
  • Interpretation of Results - Business Validation - Implementation on new data

Module 13: Logistic Regression

  • Introduction - Applications
  • Linear Regression Vs. Logistic Regression Vs. Generalized Linear Models
  • Building Logistic Regression Model (Binary Logistic Model)
  • Understanding standard model metrics (Concordance, Variable significance, Hosmer Lemeshov Test, Gini, KS, Misclassification, ROC Curve etc)
  • Validation of Logist ic Regression Models (Re running Vs. Scoring)
  • Standard Business Outputs (Decile Analysis, ROC Curve, Probability Cut-offs, Lift charts, Model equation, Drivers or variable importance, etc)
  • Interpretation of Results - Business Validation - Implementation on new data

Module 14: Time Series Forecasting

  • Introduction - Applications
  • Time Series Components( Trend, Seasonality, Cyclicity and Level) and Decomposition
  • Classification of Techniques(Pattern based - Pattern less)
  • Basic Techniques - Averages, Smoothening, etc
  • Advanced Techniques - AR Models, ARIMA, etc
  • Understanding Forecasting Accuracy - MAPE, MAD, MSE, etc

Why Data Science with Python Training from ThinkNEXT

  • Life-Time Validity Learning and Placement Card
  • Data Science Training from top industry experts having more than 5 years of experience
  • Data Science demo class is also offered by ThinkNEXT
  • Data Science Training and Project Certificate By ThinkNEXT:
  • Data Science Experience Certificate by ThinkNEXT
  • 100% Practical, Personalized training with Live Project
  • Multiple Job Interviews + 100% Job Assistance
  • Opportunity to work on live projects
  • One-to-one Project and Project will be made Live and to make it Live, ThinkNEXT will provide sub-domain and hosting worth Rs. 3000/- absolutely free to each student for web based Project.
  • Free Study Material
  • Highest level of Infratsructure in Chandigarh Mohali Panchkula with 200+ computers and 16+ Labs

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Top 30 reasons why you should join ThinkNEXT

ThinkNEXT offers Industrial Training/Internship for Engineering/Polytechnic (All Branches), Management, Job seekers, Working Professionals and other students

  • Data Science with Python Training from 8 Times National Level Award Winner Company:
  • ThinkNEXT bagged Iconic Business Summit Award 2021 for "Most Trusted Digital Marketing and Industrial Training Company of the Year" from Bollywood Film Actress & Politician Jaya Prada and Miss Universe Romania Anca Verma at New Delhi
  • ThinkNEXT bagged Nation’s Business Pride Award 2021 from Shri Faggan Singh Kulaste (Union Minister of State for Steel) for Best Digital Marketing and Industrial Training Company
  • National Gratitude Award 2020 Winner for the Best Digital Marketing and Industrial Training Company
  • Asia’s Quality & Entrepreneurship Award 2019 Winner for Best Web Development and Industrial Training Company
  • Business Leaders Award 2019 Winner for Best Digital Marketing and Industrial Training Company
  • National Icon Award 2018 Winner Company for Best Web Development and Industrial Training Company
  • Apart from National Level Awards, ThinkNEXT also got many other awards/recognitions in the field of software development, industrial training and digital marketing services.
  • Data Science with Python from Government Registered Company with Corporate Identity No. U72200PB2011PTCO35677. ThinkNEXT is registered as a Pvt. Ltd. Company under the companies Act 1956 and approved by Ministry of Corporate Affairs (MCA), Govt. of India
  • ThinkNEXT offers Part-Time/Full-Time Job offer during training/internship so that students can earn while they learn.
  • Free Spoken English, Personality Development and Interview Preparation (HR+Technical) Classes so that students need not to struggle for jobs as a fresher
  • Data Science with Python Training from ISO 9001:2015 Certified, Google Partner, Facebook Blueprint Certified, Microsoft Accredited and Hubspot Certified Company.
  • Authorized Pearson Testing Center for International Exams/Certifications.
  • Opportunity to get International Certifications from Microsoft, SAP, Apple, Adobe, Autodesk, EC-Council, IC3, W3, Unity, QuickBooks etc.
  • ThinkNEXT has its own LMS, Certificate Portal, Job Portal and Mobile App for better communication, access to study material and community support
  • Free online courses for class-room/offline students undergoing Industrial Training/Internship
  • Get Industrial Training/Internship in 3 modes: (1. Classroom training/Offline training 2. Instructor-led online Live training 3. Self-Paced Online Courses
  • Lifetime membership to ThinkNEXT VIP Facebook Group for Placements and VIP Telegram Group for Community Support
  • Guaranteed Job Interviews and 100% Placement Assistance
  • Online Certificate Verification Facility through QR Code. ThinkNEXT Certificates are globally accepted and recognized.
  • Training on Live-Projects
  • Tally Authorized Training Partner Company with access to Tally Student Login, Tally original licensed software, Tally original Study Material, and Tally Job Portal
  • Authorized Training Partner for Various Government Skill Development Projects under NIELIT, NSDC, DoIT Punjab, PMKVY etc.
  • Affiliated to Indian Testing Board & ISTQB (International Software Testing Qualifications Board)
  • Industrial Training/Internship from 10+ Years old company
  • Customized Syllabus (You can add your own relevant topics) and Backup Classes (in case you miss some classes)
  • Free Subdomain and Web Hosting to host projects.
  • Numerous Tie-up with IT / Electronics / Mechanical / Civil / Electrical / Retail / Textile etc. companies for Placements
  • Lifetime Validity Learning and Placement Assistance
  • Member of CII (Confederation of Indian Industry). Membership No. N5238P
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