This is a presentation to understand the data science concepts.

1. Certified Python
Business Analyst
Ankit Singh

4. Henry Harvin Analytics Academy
Henry Harvin Analytics Academy has been setup with an objective to upskill the current technology
and management workforce with in-demand analytics skillset. These skills are imparted through
action oriented learning solutions that are carefully handcrafted by subject matter experts with
extensive industry experience. These learning solutions are delivered using our unique goal-centric
pedagogy by select professionals from leading organizations those also empaneled as domain
experts with the academy. This enables the academy in achieving its goal of empowering aspiring
analytics professionals to reach their full professional potential. Henry Harvin Analytics Academy
aims to function in its outreach geographies and generate 50,000 employable analytics professionals
till 2020 !

5. About the Course
It was a 2 Months course of Business Analytics where I explore, Analyse & Solve Business
Problems using Analytics Tools Python & Advanced Excel to analyze and forecast for a
business/project to provide accurate results which could be used for decision making. Also we
work on Real-life case studies using the statistical tools demonstrated, exercises and brainstorming
using adaptive probing methodology. It helps to Get hands-on experience in applying analytics
tools & techniques to real-world business problems and understand Analytics-Based Decision
Making. Thus, become a Data Driven Professional.

6. Curriculum
 Module 1: Introduction to Analytics, Data & Analytics
 Module 2: Data Visualization
 Module 3: Machine Learning
 Module 4: Statistical Analysis, Framework to Solve Analytics Case Studies
 Module 5: Completion of Internship Project

7. Function of
Python Business
Analyst
• Determine Organizational Goals
• Mining Data
• Data Cleaning.
• Analyzing Data.
• Pinpointing Trends and Patterns.
• Creating Reports With Clear Visualization.
• Maintaining Databases and Data systems.

8. Data
Structures
• Strings
S= “Foobar”
Immutable
• Files
.text, .py, .xlsx, .csv
read, append, write.
• Lists
list = [“apple”, “banana”, “cherry”]
Ordered & Changeable.
• Dictionaries
No order, Lookup tag, Key-Value Pair
{“Money”: ‘Rupees’, ‘Dollar’, ‘Euro’}
• Tuples
a = (“Ankit”, “Arfana”, “Devesh”, “Kunal”)
Ordered, Immutable.

9. Problem Statem
Important
Libraries In
python –
Machine
Learning
• NUMPY
• PANDAS
• MATPLOTLIB
• SEABORN

10. Numpy
• Numpy is a python library used for working with
arrays.
• It has also functions for working in domain of
linear algebra, fourier transform and matrices.
• In python we have lists that serve the purpose
of arrays, but they are slow to process. Numpy
aims to provide an array object that is up-to 50x
faster than traditional python lists.
• Numpy has standard trigonometric functions
which return trigonometric ratios.

11. Pandas
• Pandas is a high level data manipulation tool
developed by Wes Mckinney. It is built on the
Numpy packages and its key data structure is
called the data frame. Data frames allows you
to store and manipulate tabular data in rows of
observations and columns of variables.
• Pandas has been one of the most popular and
favorite data science tools used in python
programming language for data wrangling and
analysis. Data is unavoidably messy in real
world. And pandas is seriously a game changer
when it comes to cleaning, transforming,
manipulating and analyzing data.

12. Matplotlib
• Matplotlib.pyplot is a collection of functions that
make Matplotlib work like MatLab. Each pyplot
function makes some change to a figure: e.g.,
creates a figure, create a plotting area in a
figure, plots some lines in a plotting area,
decorates the plot with labels, etc.
• Matplotlib is a comprehensive library for
creating static, animated, and interactive
visualizations in python.

13. Seaborn
• Seaborn is a library that uses Matplotlib
underneath to plot graphs. It will be used to
visualize random variables.
• The seaborn package was developed based on
the Matplotlib library. It is used to create more
attractive and informative statistical graphics.
While seaborn is a different package, it can
also be used to develop the attractiveness of
Matplotlib graphics.

14. Machine
Learning
Algorithms
• Linear Regression.
• Logistic Regression.
• Decision tree.
• KNN (k-nearest Neighbors)
• Random Forest