We provide the Best Training for Data Sciences Course Through Comprehensive Learning of Data Visualisation Techniques Using Python. It Aims to Acquaint the Student with All the Latest Programming Skills. Course Covers Various Exercises and Projects During the Learning Period.
There has been a 256 percent increase in Data Science since 2013, which suggests companies recognize the worth of data scientists and want to add them to their teams.
Data Science named "the most promising career in 2019" by LinkedIn and the "best job in America" by Glassdoor, it’s not just the earning power. The money is great, with a median base salary of $108,000,
According to Glassdoor, data scientist also tops the charts based on job satisfaction. And, according to LinkedIn, the career path readily leads to promotions.
| Starts | Days | |
|---|---|---|
| 5th Dec |
Mon-Fri | |
| 3rd Dec |
Sat & Sun | |
| 19th Dec |
Mon-Fri | |
| 17th Dec |
Sat & Sun |
Variables
Memory mapping of variables
Keywords in Python
Comments in python
Operators
Arithmetic Operators
Assignment Operators
Comparison Operators
Logical Operators
Membership Operators
Identity Operators
Bitwise Operators
Basics I/O and Type casting
Getting user input
Want to Learn Data Science Course in Delhi Join Pythontraining.net Now
Numbers
Strings
Lists
Tuples
Dictionary
Sets
Introduction to Python ‘Number’ & ‘string’ data types
Properties of a string
String built-in functions
Programming with strings
String formatting
Introduction to Python ‘list’ data type
Properties of a list
List built-in functions
Programming with lists
List comprehension
Introduction to Python ‘tuple’ data type
Tuples as Read only lists
Introduction to Python ‘dictionary’ data type
Creating a dictionary
Dictionary built-in functions
Introduction to Python ‘set’ data type
Set and set properties
Set built-in functions
Introduction of Decision Making
Control Flow and Syntax
The if Statement
The if…else Statement
The if…elif…else Statement
Nested if…else Statement
The while Loop
break and continue Statement
The for Loop
Pass statement
Exercise
Introduction of functions
Function definition and return
Function call and reuse
Function parameters
Function recipe and docstring
Scope of variables
Recursive functions
Lambda Functions / Anonymous Functions
Map , Filter & Reduce functions
Pattern matching
Meta characters for making patterns
re flags
Use of match() , sub() , findall(), search(), split() methods
Introduction to Numpy
Numpy Arrays
Numpy Data types
Numpy Array Indexing
Numpy Mathematical Operations
Indexing and slicing
Manipulating array shapes
Stacking arrays
Sorting arrays
Creating array views and copies
I/O with NumPy
Numpy Exercises
Introduction to Pandas
Data structure of pandas
Pandas Series
Pandas dataframes
Data aggregation with Pandas
DataFrames Concatenating and appending
DataFrames Joining
DataFrames Handling missing data
Data Indexing and Selection
Operating on data in pandas
loc and iloc
map,apply,apply_map
group_by
string methods
Querying data in pandas
Dealing with dates
Reading and Writing to CSV files with pandas
Reading and Writing to Excel with pandas
Reading and Writing to SQL with pandas
Reading and Writing to HTML files with pandas
Pandas Exercises
Introduction of Seaborn
Distribution Plots
Categorical Plots
Matrix Plots
Bar Plots
Box Plots
Strip Plots
Violin Plots
Clustermap Plots
Heatmaps Plots
KDE Plots
Regression Plots
Style and Color
Seaborn Exercise
Introduction to Plotly and Cufflinks
Plotly and Cufflinks
Introduction to Geographical Plotting
Choropleth Maps – Part 1
Choropleth Maps – Part 2
Choropleth Exercises
Projects using Analysis and Visualisation
Enter details to watch this lesson for free
Please fill the form to view lesson
The constructs of this Python Language make it easier for a non-technical person to understand and grab it . Python is is definitely one of the easiest programming languages to learn. This is infact the best first language to learn. Even the learners from a non-technical background will start liking the language after a while.
Today, while Python becoming the de facto industry standard in financial analysis, e-commerce, retail business, many found the jobs required it as a core competency and charted a learning path with us while learning in classroom or online mode. Students at our institute comes from varied background and learn to not only code fluently but build solutions finding them a space in analytics companies as data analysts. Many have turned to be full-stack developers and business analysts.
Yes, All our courses at Python Training institute are available on both Weekdays as well as on Weekends mode. Infact most of our courses are available in Online mode as well.
There are usually 7-8 students in a batch.
Although you will get an Autonomous certificate from Python Training institute, and additionally students will also get a certification from Microsoft after passing out the exam successfully.
All our courses comes with Projects and Assignments at various stages of the course curriculum. You can refer the course syllabus for the same.
Yes, at Python Training institute we are pleased to offer you one Demo and Trial Class for better understanding about course flow, teaching style of trainer and to get acquainted with learning atmosphere.
Microsoft’s Technology Associate Certificate Holders work at 1000s of companies like
