Data Science & Machine Learning using Python

Basic Details

When: Batch Begins 6th January, 2019, Weekend Batch (14 Sessions, 3 hours each, Project Work towards end of program)

Support & Assessments: 2 Internal Assessments, 1 Project

Where: Basement, 29, Jawahar Nagar, Malkaganj Road, New Delhi, Delhi 110009 (Below CCD & Subway, Opposite Hansraj College, 10 mins in E-Rickshaw from Vishwa Vidyalaya Metro Station, Yellow Line)

Fee: Rs 9,500, 10% Group discount for a group of 3 or more

Who should attend: Anyone looking to learn Python from scratch in a hands-on manner. We have had Bachelors, Masters students, research scholars and Working Professionals as our participants in our Analytics Learning Engagements in past who have found the course quite beneficial and useful.

Why should you attend: In over 100+ Analytics (SAS, SPSS, Excel, SQL & R) engagements conducted so far, we have had over 2500+ participants from some of the most prominent colleges and courses from Delhi University (FMS, DSE,SRCC, Stephen's, LSR, DRC, SSCBS, Miranda, Dept. of OR, Stats and many more), JNU, Jamia, Ambedkar University, IIT Delhi etc. and working professionals from companies like American Express, RMS, Mercer Consulting, WNS, Koncept Analytics, KBR and many more with an average rating of 9/10 across all our engagements.

Prerequisites: Basic Knowledge of Statistics will be helpful

Course details :

MODULE 1: INSTALLATION AND SETUP

• Overview of Python- Starting with Python

• Introduction to installation of Python

• Introduction to Python Editors & IDE's (Canopy, PyCharm, Jupyter, Rodeo, Ipython etc…)

• Understanding Jupyter notebook & Customize Settings

• Installing & loading Packages & Namespaces

MODULE 2: Python Programming 1

• Variables, operations, control flow - assignments, conditionals

• Loops, functions

• Python: types, expressions, strings, lists, tuples

• Python memory model: names, mutable and immutable values

• List operations: slices etc

• Text, numeric, date, utility functions in Python

MODULE 3: Python Programming 2

• Dictionaries

• More on Python functions: optional arguments, default values

• Passing functions as arguments, Higher order functions on lists

• Basic input/output, Handling files, File I/O, Reading & Writing data to Files

• String processing, String slicing, Testing, searching and manipulating strings

MODULE 4: Data Science using Python

• NumPy – Usage, Examples and Application

• Pandas – Usage, Examples and Application

• Matplotlib – Usage, Examples and Application

• Other Important Data Science Libraries in Python

• NLP - Pattern Matching, Searching and Regular Expressions

MODULE 5: Data Analysis – Visualization using python

• 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)

MODULE 6: Data Exploration for Modelling

• EDA framework for exploring the data and identifying any problems with the data (Data Audit Report)

• Identify missing data

• Identify outliers data

MODULE 7: Introduction to Machine Learning

• Common terminology used in analytics & modeling process

• Popular modeling algorithms

• Types of Business problems - Mapping of Techniques

• Different Phases of Predictive Modeling

• Supervised and Unsupervised Learning

• Linear Regression in Python

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In over 100+ Analytics (SAS, SPSS, Excel, SQL & R) engagements conducted so far in last 12 months, we have had over 2500+ participants from some of the most prominent colleges and courses from Delhi University (FMS, DSE,SRCC, Stephen's, LSR, DRC, SSCBS, Miranda, Dept. of OR, Stats and many more), JNU, Jamia, Ambedkar University, IIT Delhi etc. and working professionals from companies like American Express, RMS, Mercer Consulting, WNS, Koncept Analytics, KBR and many more with an average rating of 9/10 across all our engagements.

Click to register How to pay ?