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Python and Statistics for Financial Analysis Training

(4.2) 9562 Ratings 10458Learners
100% Job Guarantee | Minimum CTC: ₹ 5 LPA

You will learn to use Python in a bank finance department and integrate yourself with the rest of the bank’s team in this course. You will learn the basic concepts of statistics, graphs, and plotting, how to use them, and then how to proceed with the later on on in the financial analysis and probability programming course on more advanced topics.

Preview Course Video
 
  • 40+ Hrs Hands On Training
  • 2 Live Projects For Hands-On Learning
  • 50 Hrs Practical Assignments
  • 24/7 Students

Online Classroom Batches Preferred

13- May- 2024
Monday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

08- May- 2024
Wednesday (Monday - Friday)

Weekdays Regular

08:00 AM (IST)

(Class 1Hr - 1:30Hrs) / Per Session

11- May- 2024
Saturday (Saturday - Sunday)

Weekend Regular

11:00 AM (IST)

(Class 3hr - 3:30Hrs) / Per Session

11- May- 2024
Saturday (Saturday - Sunday)

Weekend Fasttrack

11:00 AM (IST)

(Class 4:30Hr - 5:00Hrs) / Per Session

Can't find a batch you were looking for?
₹21000 ₹16000 10% OFF Expires in

No Interest Financing start at ₹ 5000 / month

Python and Statistics for Financial Analysis Training Overview

Python is now becoming the number one programming language for data science. Due to the simplicity and high readability of Python, it is becoming increasingly relevant in the financial industry. To analyze financial data, such as stock data, the course incorporates both python coding and statistical principles. This Python and Statistics for Financial Analysis Online Course are ideal for a data analyst with financial domain exposure. There is no need for previous coding experience, as the course was designed to be a ground-up approach that teaches the structure of the Python language from first principles.

Python and Statistics for Financial Analysis Training will:

  • Manipulate current financial data using several columns by creating new variables.
  • We are one of the institutions that make the Python and Statistics Online Course syllabus comprehensible with simple projects and domain-oriented projects.
  • Recall and apply significant statistical principles to the financial sense (random variable, frequency, distribution, population and sample, confidence interval, linear regression, etc.).
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Top Skills You Will Gain
  • C, C++, Java
  • DataScience, Pandas
  • Data Analysis, IPython
  • XML, JSON and the Web
  • Machine Learning, NumPy
  • Data types and Operators
  • Control Flow, Functions
  • Scripting, Django, FLask, Pyramid & Bottle

Python and Statistics for Financial Analysis Course Key Features 100% Money Back Guarantee

  • 5 Weeks Training

    For Become a Expert
  • Certificate of Training

    From Industry Python and Statistics for Financial Analysis Experts
  • Beginner Friendly

    No Prior Knowledge Required
  • Build 3+ Projects

    For Hands-on Practices
  • Lifetime Access

    To Self-placed Learning
  • Placement Assistance

    To Build Your Career

Top Companies Placement

A well-exposed Financial Data Analyst is responsible for obtaining data from the company's separate divisions with other duties that could include enhancing existing data collection practices from different functional areas of an organisation while maintaining the information's critical integrity and protection and rewarded with substantial pay raises shown below.
  • Designation
  • Annual Salary
    Hiring Companies
  • 5.0L
    Min
  • 9.5L
    Average
  • 18.5L
    Max
  • 4.50L
    Min
  • 8.5L
    Average
  • 16.5L
    Max
  • 4.0L
    Min
  • 7.5L
    Average
  • 13.5L
    Max
  • 3.24L
    Min
  • 6.5L
    Average
  • 12.5L
    Max

Training Options

One to One Training

₹23000₹ 18000

  • Lifetime access to high-quality self-paced eLearning content curated by industry experts
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt
  • 8 industry case studies on real business problems
  • 6 hands-on projects to perfect the skills learnt

Online Training

₹21000₹ 16000

  • preferred
  • Live demonstration of features and practicals.
  • Lifetime access to high-quality self-paced learning and live online class recordings
  • Get complete certification guidance
  • Attend a Free Demo before signing up.

Next Demo Sessions

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Corporate Training

Customized to your team's needs

  • Self-Paced/Live Online/Classroom modes of training available
  • Design your own course content based on your project requirements
  • Learn as per full day schedule and/or flexible timings
  • Gain complete guidance on certification
  • 24x7 learner assistance and support

Self Paced Training

  • 50+ Hours High-quality Video
  • 28+ Downloadable Resource
  • Lifetime Access and 24x7 Support
  • Access on Your Computer or Mobile
  • Get Certificate on Course Completion
  • 3+ Projects
12500 ₹4500

Python and Statistics for Financial Analysis Course Curriculam

Trainers Profile

Trainers are certified professionals with 11+ years of experience in their respective domains as well as they are currently working with Top MNCs. As all Trainers from Python and Statistics for Financial Analysis Course are respective domain working professionals so they are having many live projects, trainers will use these projects during training sessions.

Pre-requisites

  • You’ll need to install Anaconda. We will show you how to do it in one of the first lectures of the course
  • All software and data used in the course is free
  • Syllabus of Python and Statistics for Financial Analysis Online Course Download syllabus

    • What can Python and Statistics for Financial Analysis do?
    • Why Python?
    • Good to know
    • Python and Statistics for Financial Analysis Syntax compared to other programming languages
    • Python and Statistics for Financial Analysis Install
    • The print statement
    • Comments
    • Python and Statistics for Financial Analysis Data Structures & Data Types
    • String Operations in Python
    • Simple Input & Output
    • Simple Output Formatting
    • Operators in python
    • Indentation
    • The If statement and its’ related statement
    • An example with if and it’s related statement
    • The while loop
    • The for loop
    • The range statement
    • Break &Continue
    • Assert
    • Examples for looping
    • Create your own functions
    • Functions Parameters
    • Variable Arguments
    • Scope of a Function
    • Function Documentations
    • Lambda Functions& map
    • n Exercise with functions
    • Create a Module
    • Standard Modules
    • Errors
    • Exception handling with try
    • handling Multiple Exceptions
    • Writing your own Exception
    • File handling Modes
    • Reading Files
    • Writing& Appending to Files
    • Handling File Exceptions
    • The with statement
    • New Style Classes
    • Creating Classes
    • Instance Methods
    • Inheritance
    • Polymorphism
    • Exception Classes & Custom Exceptions
    • Iterators
    • Generators
    • The Functions any and all
    • With Statement
    • Data Compression
    • List Comprehensions
    • Nested List Comprehensions
    • Dictionary Comprehensions
    • Functions
    • Default Parameters
    • Variable Arguments
    • Specialized Sorts
    • namedtuple()
    • deque
    • ChainMap
    • Counter
    • OrderedDict
    • defaultdict
    • UserDict
    • UserList
    • UserString
    • Introduction
    • Components and Events
    • An Example GUI
    • The root Component
    • Adding a Button
    • Entry Widgets
    • Text Widgets
    • Check buttons
  • Introduction
  • Installation
  • DB Connection
  • Creating DB Table
  • INSERT, READ, UPDATE, DELETE operations
  • COMMIT & ROLLBACK operation
  • handling Errors
    • Introduction
    • A Daytime Server
    • Clients and Servers
    • The Client Program
    • The Server Program
    • sleep
    • Program execution time
    • more methods on date/time
    • Filter
    • Map
    • Reduce
    • Decorators
    • Frozen set
    • Collections
    • Split
    • Working with special charLearnoVitars, date, emails
    • Quantifiers
    • Match and find all
    • charLearnoVitar sequence and substitute
    • Search method
    • Class and threads
    • Multi-threading
    • Synchronization
    • Treads Life cycle
    • use cases
      • Introduction
      • Facebook Messenger
      • Openweather
    (15) view More view Less
    Need customized curriculum?

    Industry Projects

    Project 1
    Lavante SIM - CRM

    Lavante [SIM] allows you to collect detailed information on all of your suppliers & Customers, including detailed information on each contact.

    Project 2
    MWS - Insurance

    It is used to manage the mobile policies and claims management and interacting with the external systems like Real Time Logistic provider.

    Project 3
    Employee Management System (EMS)

    Create a new system to automate the regulation creation and closure process.

    Mock Interviews

    • Mock interviews by Learnovita give you the platform to prepare, practice and experience the real-life job interview. Familiarizing yourself with the interview environment beforehand in a relaxed and stress-free environment gives you an edge over your peers.
    • Our mock interviews will be conducted by industry experts with an average experience of 7+ years. So you’re sure to improve your chances of getting hired!

    How Learnovita Mock Interview Works?

    Python and Statistics for Financial Analysis Training Objectives

    • Python is widely used in quantitative finance - solutions that process and analyze large datasets, big financial data.
    • Libraries such as Pandas simplify the process of data visualization and allow carrying out sophisticated statistical calculations.
    • Python comes when you start downloading some of the numerous, and freely available, third party libraries.
    • For serious finance work you'll need numpy (to handle operations on large arrays), scipy (advanced statistical and mathematical functions), and matplotlib (data visualisation).
    • Basics of Python programming
    • Use of Numpy for arrays and statistics
    • Pandas for data handling and preprocessing
    • Matplotlib to create beautiful visualizations of your data
    • Prediction on your data using Scikit-learn
    • Python has become one of the most popular programming languages in financial organizations owing to its simplicity, robust modeling capabilities and research ability for analysts, traders and researches.
    • Python has inbuilt applications for every aspect in finance ranging from risk management to cryptocurrencies.
    • It takes around 8 weeks to learn Python basics on average.
    • This includes learning basic syntax, links if statements, loops, variables, functions, and data types.
    • Programming is one of the most important financial skills a person can have.
    • Programming can help you automate tasks that would otherwise require manual data entry, repeat those tasks indefinitely, and manage and process data more seamlessly than any human brain can.
    • Python is one of the popular programming languages used in finance.
    • It is one of the programming languages used in financial modeling nowadays.
    • Excel and VBA programming in excel. Fixed income, porftfolio management and equities and other areas requiring statistical analysis or simulation will often use MatLab/Octave, R, Stata.
    • Python is an ideal programming language for the financial industry.
    • Widespread across the investment banking and hedge fund industries, banks are using Python to solve quantitative problems for pricing, trade management, and risk management platforms.
    • The entry-level position is an FP&A analyst
    • Analysts can eventually move up to be a manager or director
    • It can take anywhere from two to five years to move up through the positions
    • Unlike investment banking or other capital markets positions, you may stay at a certain level for most of your career
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    Exam & Certification

    At LearnoVita, You Can Enroll in Either the instructor-led Online Classroom Training or Online Self-Paced Training. Online Classroom:
    • Participate and Complete One batch of Python and Statistics for Financial Analysis Training Course
    • Successful completion and evaluation of any one of the given projects
    Online Self-learning:
    • Complete 85% of the Python and Statistics for Financial Analysis Certification course
    • Successful completion and evaluation of any one of the given projects
    Honestly Yes, We Provide 1 Set of Practice test as part of Your Python and Statistics for Financial Analysis Training course. It helps you to prepare for the actual Python and Statistics for Financial Analysis Certification exam. You can try this free Python and Statistics for Financial Analysis Fundamentals Practice Test to Understand the Various type of tests that are Comes Under the Parts of Course Curriculum at LearnoVita.
    These are the Four Different Kinds of Certification levels that was Structured under the Oracle’s Python and Statistics for Financial Analysis Certification Path.
    • Oracle Certified Associate (OCA)
    • Oracle Certified Professional (OCP)
    • Oracle Certified Expert (OCE)
    • Oracle Certified Master (OCM)
    • Learn About the Certification Paths.
    • Write Code Daily This will help you develop Coding Reading and Writing ability.
    • Refer and Read Recommended Books Depending on Which Exam you are Going to Take up.
    • Join LearnoVita Online Training Course That Gives you a High Chance to interact with your Subject Expert Instructors and fellow Aspirants Preparing for Certifications.
    • Solve Sample Tests that would help you to Increase the Speed needed for attempting the exam and also helps for Agile Thinking.
    Honestly Yes, Please refer to the link This Would Guide you with the Top 20 Interview Questions & Answers for Python and Statistics for Financial Analysis Developers.

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    Python and Statistics for Financial Analysis Course FAQ's

    LearnoVita Offers the Best Discount Price for you CALL at +91 93833 99991 and know the Exciting offers Available for you!!!
    Yes, you can attend the demo session. Even though We have a limited number of participants in a live session to maintain the Quality Standards. So, unfortunately, participation in a live class without enrolment is not possible.If you are unable to attend you can go through our Pre recorded session of the same trainer, it would give you a clear insight about how are the classes conducted, the quality of instructors, and the level of interaction in the class.
    All Our instructors are working professionals from the Industry, Working in leading Organizations and have Real-World Experience with Minimum 9-12 yrs of Relevant IT field Experience. All these experienced folks at LearnoVita Provide a Great learning experience.
    The trainer will give Server Access to the course seekers, and we make sure you acquire practical hands-on training by providing you with every utility that is needed for your understanding of the course
    • LearnoVita will assist the job seekers to Seek, Connect & Succeed and delight the employers with the perfect candidates.
    • On Successfully Completing a Career Course with LearnoVita, you Could be Eligible for Job Placement Assistance.
    • 100% Placement Assistance* - We have strong relationship with over 650+ Top MNCs, When a student completes his/ her course successfully, LearnoVita Placement Cell helps him/ her interview with Major Companies like Oracle, HP, Wipro, Accenture, Google, IBM, Tech Mahindra, Amazon, CTS, TCS, HCL, Infosys, MindTree and MPhasis etc...
    • LearnoVita is the Legend in offering placement to the students. Please visit our Placed Students's List on our website.
    • More than 5400+ students placed in last year in India & Globally.
    • LearnoVita Conducts development sessions including mock interviews, presentation skills to prepare students to face a challenging interview situation with ease.
    • 85% percent placement record
    • Our Placement Cell support you till you get placed in better MNC
    • Please Visit Your Student's Portal | Here FREE Lifetime Online Student Portal help you to access the Job Openings, Study Materials, Videos, Recorded Section & Top MNC interview Questions
    After Your Course Completion You will Receive
    • LearnoVita Certification is Accredited by all major Global Companies around the World.
    • LearnoVita is the unique Authorized Oracle Partner, Authorized Microsoft Partner, Authorized Pearson Vue Exam Center, Authorized PSI Exam Center, Authorized Partner Of AWS and National Institute of Education (nie) Singapore
    • Also, LearnoVita Technical Experts Help's People Who Want to Clear the National Authorized Certificate in Specialized IT Domain.
    • LearnoVita is offering you the most updated, relevant, and high-value real-world projects as part of the training program.
    • All training comes with multiple projects that thoroughly test your skills, learning, and practical knowledge, making you completely industry-ready.
    • You will work on highly exciting projects in the domains of high technology, ecommerce, marketing, sales, networking, banking, insurance, etc.
    • After completing the projects successfully, your skills will be equal to 6 months of rigorous industry experience.
    At LearnoVita you can enroll in either the instructor-led Online Training, Self-Paced Training, Class Room, One to One Training, Fast Track, Customized Training & Online Training Mode. Apart from this, LearnoVita also offers Corporate Training for organizations to UPSKILL their workforce.
    LearnoVita Assures You will Never lose any Topics and Modules. You can choose either of the Three options:
    • We will reschedule the classes as per your convenience within the stipulated course duration with all such possibilities.
    • View the class presentation and recordings that are available for online viewing.
    • You can attend the missed session, in any other live batch.
    Just give us a CALL at +91 9383399991 OR email at contact@learnovita.com
    Yes We Provide Lifetime Access for Student’s Portal Study Materials, Videos & Top MNC Interview Question After Once You Have Enrolled.
    We at LearnoVita believe in giving individual attention to students so that they will be in a position to clarify all the doubts that arise in complex and difficult topics and Can Access more information and Richer Understanding through teacher and other students' body language and voice. Therefore, we restrict the size of each Python and Statistics for Financial Analysis batch to 5 or 6 members
    Learning Python and Statistics for Financial Analysis can help open up many opportunities for your career. It is a GREAT SKILL-SET to have as many developer roles in the job market requires proficiency in Python and Statistics for Financial Analysis. Mastering Python and Statistics for Financial Analysis can help you get started with your career in IT. Companies like Oracle, IBM, Wipro, HP, HCL, DELL, Bosch, Capgemini, Accenture, Mphasis, Paypal, and MindLabs.
    The Average Python and Statistics for Financial Analysis Developer salary in India is ₹4,43,568 per annum.
    You can contact our support number at +91 93800 99996 / Directly can do by LearnoVita E-commerce payment system Login or directly walk-in to one of the LearnoVita branches in India.
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