Data Analytics Using Python Certification Training
Softcrayons offers comprehensive training in Data Analytics with Python, catering to individuals keen on mastering the art of data analysis. The course looks into Python's powerful libraries like Pandas, NumPy, and Matplotlib, empowering participants to manipulate and visualize data effectively. Through hands-on projects and real-world datasets, participants gain practical experience in extracting insights and making data-driven decisions. Led by best instructors, Softcrayons' training ensures a solid foundation in data analytics techniques and methodologies. Whether you're a beginner or an experienced professional, this course equips you with the skills needed to excel in the data-driven world. Join Softcrayons to harness the potential of Python for data analytics and propel your career forward.
Course Overview:-
Softcrayons, recognized as the best training institute for data analytics using Python in Noida, offers a comprehensive course designed to equip you with essential skills in data analysis. This course covers everything from the basics to advanced techniques, ensuring you gain a solid foundation in Python programming, data manipulation, and statistical analysis.
Softcrayons is committed to your career success. We provide 100% placement assistance, guiding you through the job search process, connecting you with potential employers, and offering support until you secure a job. Join us to start your journey toward a successful career in data analytics with Python!
Course Objective:-
Our primary objective is to transform beginners into proficient data analysts who can effectively use Python to extract insights from data. We aim to provide a robust understanding of data analytics concepts, Python programming, and practical applications, preparing you for a successful career in the data industry.
Things You Will Learn:-
Python Programming: Basics to advanced concepts, including libraries like NumPy, Pandas, Matplotlib, and Seaborn.
Data Manipulation: Techniques for cleaning, transforming, and organizing data for analysis.
Statistical Analysis: Understanding distributions, hypothesis testing, and regression analysis.
Data Visualization: Creating compelling visual representations of data to communicate insights.
Machine Learning Basics: Introduction to machine learning algorithms and their applications in data analytics.
Real-world Applications: Implementing data analytics in various domains such as finance, healthcare, and marketing.
Salary Expectations for Freshers:-
Fresh graduates who complete our data analytics course can expect to earn competitive salaries. Entry-level data analysts typically start with an annual salary ranging from $50,000 to $70,000. This can vary based on the location, industry, and individual performance.
Career Growth after the Course:-
The career growth potential after completing this course is substantial. Starting as a data analyst, you can advance to roles such as Senior Data Analyst, Data Scientist, and Data Engineer. With experience and continuous learning, you can move into managerial positions like Data Analytics Manager or Chief Data Officer. Softcrayons is the best training institute for data analytics using Python courses in Delhi NCR.
Top Hiring Companies:-
Graduates from Softcrayons, the best training institute in data analytics using Python, are sought after by top companies. Some of the leading companies that hire data analysts include:
Job Responsibilities:-
As a data analyst, your responsibilities will include:
Training Certificate:-
Upon successful completion of the course, you will receive a prestigious training certificate from Softcrayons. This certification validates your skills and knowledge in data analytics using Python, making you a competitive candidate in the job market. Softcrayons is the best training institute for data analytics using Python Training
Mock Interviews:-
To ensure you are fully prepared for job interviews, Softcrayons offers mock interview sessions. These sessions provide you with the opportunity to practice and refine your interview skills, receive feedback, and gain confidence to excel in real job interviews.
Projects:-
The course includes multiple hands-on projects that simulate real-world data analytics problems. These projects are designed to give you practical experience and the ability to apply your knowledge to solve complex data challenges. Examples of projects include:
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Live Projects Training
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Globally Recognized Certifications
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Evaluate your own skills and knowledge,
then share insights and feedback with peers for collaborative growth.
Data Type - String, Integer, Float
Define Variables and variable rule
Boolean Values
String Formating
Input Function
Indexing
Slicing
List
Tuple
Set
Dictionaries
String Methods
List Methods
Tuple Methods
Set Methods
Dictionaries Methods
Logical operators
Comparison Operators
Arithmetic operators
Condition - If, Elif, Else
Range Function
For Loop
For Loop Patterns
While Loop
Break, Continue, Pass
While Loop Practice
Define Function
Parameter and Argument
Calling Function
Iterate, Iterable and Iterators
How Next function work's
creating of for loop
Define Range Function
Yield Function
Local and Global Variable
Arbitrary Arguments
Keyword Arguments
Lambda Function
List Comprehension
Map
Filter
Reduce
Try and Except
Fix Errors
Learn about different different Errors
Else and Finally
Create New File
Modify Old File
Read File
Delete File
Introduction of OOPS
class
object
Methods
Attributes
Create Class
Define Object
Uses of Object
Methods
How Inheritance Work
How we Inherit Methods and Attributes
Multi - Level Inheritance
Single - Level Inheritance
Multiple Inheritance
Super Method
How we access parent class method within the child class
Implementation of Decorator Functions
Use of decorator
Methods Overriding
Method Overloading
Polymorphism
Encapsulation - Public, Private, Protective
Abstraction
Access class Methods without using self
How we use Self
Normal other Functions
Import libraries
Read File
Head and Tail methods
Check DataTypes
Handle Null Values
iLoc and Loc
Sorting
Unique and nUnique
Groupby
Describe
Handle Duplicate Values
Column Rename
Index Methods
Joins - Left, Right, Inner, Outer
Concatenation
Pandas Practice and Pandas Methods
Arrays
Dimensions
Matrix
Linespace
Random values with Numpy
Arrays Reshaping
Array Indexing and Slicing
Array Filters
Using Numpy More Methods
Learn about Graphs
Use different - different graphs
Learn where we use different differen Graphs
Make Graphs using Matplotlib library
Use Matplotlib Methods
Using all Graph with Seaborn Library
Use Seaborn Methods
What is Databases
Type of data Models
DBMS - Advantages and Disadvantages
RDBMS
SQL Data Types
DDL (Data Definition Language)
DDL Practical
Create Table
Alter
Drop
Delete
Rename
Truncate
DML (Data Manipulation Language)
Insert
Update
Delete
DML Practical
DCL (Data Control Language)
TCL (Transaction Control Language)
And
Or
Not
Comparison Operator
Between
Like
Is Null
IN
Distinct
Where
Avg
Sum
Count
Min
Max
Left Join
Right Join
Inner Join
Outer Join
Cross Join
Aggregate
Ranking
Value
rand
round
upper, lower
Length
Substring
Now
Format
Concat
Replace
Trim
Not Null
Unique
Default
Check
Index
Foreign Key
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The duration of the course is typically 12 weeks, including lectures, hands-on labs, and project work.
No prior programming experience is required. The course starts with the basics of Python, making it suitable for beginners.
You will learn Python programming, data manipulation with Pandas, data visualization with Matplotlib and Seaborn, statistical analysis, and basics of machine learning.
A basic understanding of mathematics and statistics is helpful, but not mandatory. The course is designed to cater to both beginners and those with some prior knowledge.
You will work on real-world projects such as analyzing sales data, predicting customer behavior, and creating data visualizations for business insights.
Yes, you will receive a training certificate from Softcrayons upon successful completion of the course.
Yes, we provide 100% placement assistance, including resume building, mock interviews, and connecting you with potential employers.
Graduates can pursue roles such as Data Analyst, Data Scientist, Data Engineer, and more. There is significant potential for career growth in the data analytics field.
Freshers can expect an average salary ranging from $50,000 to $70,000 per year, depending on the location, industry, and individual performance.
Our instructors are industry experts with extensive experience in data analytics and Python programming.
Engage in live, interactive training with experienced instructors who provide real-time feedback and guidance. Benefit from personalized attention and practical insights to enhance your learning experience.
Gain practical insights by analyzing real-world scenarios relevant to your field, enhancing problem-solving skills and applying theoretical knowledge to actual situations.
Complete practical tasks designed to reinforce your learning and apply theoretical concepts. These assignments help you gain hands-on experience and prepare for real-world challenges.
Enjoy uninterrupted access to all course materials and updates for as long as you need. Continue learning and revising at your own pace, whenever you want.
Get round-the-clock assistance from our knowledgeable team to address your queries and provide guidance whenever you need it. We're here to help you succeed at any time, day or night.
Achieve industry-recognized credentials that validate your skills and knowledge. Enhance your professional profile and open doors to new career opportunities with our certification programs.
Successfully complete the training and assessments to receive your official certification. This credential validates your skills and enhances your career opportunities.
Celebrate your success by showcasing your accomplishments. Share your milestones with your network to inspire and connect with others.