Learn Spark using Python

With a 100% Job Guarantee

Build expertise in performing exploratory data analysis by learning Pyspark using Python.

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Duration

180 Days

Mode

Online

Job Guarantee

100%

No Cost EMI Starts

at 4000/month*

About Program

Programming language makes its enormous presence and impacts every sector so rapidly in both IT and non-IT sectors including Software & Product Development, Infrastructure and Support Systems, Education, Banking, Insurance, Telecom, Automobile, Cyber Security, Surveillance Systems, Agriculture, Robotics, AI/ML applications, Healthcare, etc.

The reasons for its phenomenal adoption are plenty - ranging from the ease in learning through its simple syntactic structures to coding less and producing more advantages because of the vast sets of availability of libraries. Our program which is a blend of Pyspark and Python can solve simple to very high complex problems that the industries and markets are facing in recent and current times and also helps in building business-critical and sensitive applications by easily integrating with several other frameworks and infrastructures.

Also, believing in the statement, "Good communication skills are a step towards building a great career", our job guarantee program additionally offers aspirants with "Soft Skills" course. This course aids learners in getting placed in their dream companies.

Program Highlights

Engaging E-learning platform.
Renowned certification from esteemed institutions.
Specially designed curriculum.
Top-notch experts.
100% job guarantee.
Prestigious institutional collaborations.
One-to-One student guidance support.
Timely assistance throughout the program.
Learning at your own pace.
Easy & convenient learning style.
Hassle-free access to the program.
Webinar.

Who is this program for?

Irrespective of the stream, Edifypath welcomes all the learners who can see the future in the programming world.

Engineering students who are pursuing their graduation / post-graduation (any stream).

Freshers, Tech Enthusiasts who see a future in the programming world.

Professionals who are looking for a career transition in the field of Data analytics.

Technical and non-technical domain experts who are enthusiastic about learning.

Program Objectives

Allows learners to reap the benefits of the rich set of libraries that deal with innumerable features and frameworks.

Incorporates the simple methods of processing large data sets with end-to-end machine learning implementations with remarkable results.

Enables learners to become industry-ready and gain the competence to make progressive careers in AI, Data Science, and Business analytics.

Delivers rich expertise in programming and precise knowledge in data analysis.

The framework helps computer specialists to concentrate on data problems rather than being stuck with hassles around managing distributed infrastructure.

Facilitates huge demand for Spark professionals due to the widespread enterprise.

Program Curriculum

  • Session-1: Python Introduction
  • Session-2: Python Syntaxes, Variables and Reserved Keywords
  • Session-3: Python Data Types
  • Session-4: Operators in Python
  • Session-5: Strings in Python
  • Session-6: Python Collections (List, Tuple, Set, Dictionary)
  • Session-7: Lists
  • Session-8: Tuples
  • Session-9: Set
  • Session-10: Dictionary
  • Session-11: Sorted Function on Collection Data Types
  • Session-12: Copy Collections (Hard Copy, Shallow Copy, Deep Copy)
  • Assessment-1
  • Session-1: Pass, Control Statements
  • Session-2: Looping Statements (for-loop, while-loop, break, continue, for-loop-else clause)
  • Assessment-2
  • Session-1: Function Definition, Types of Functions, Calling Functions
  • Session-2: User Defined Functions (based on Parameters)
  • Session-3: Recursive Functions
  • Session-4: Lambda Functions
  • Session-5: Map, Filter, Reduce Functions
  • Session-6: Closure Functions
  • Assessment-3
  • Session-1: What are Modules, Built-In & User Defined Modules, Advantages
  • Session-2: What are Packages, Built-In & User Defined Packages
  • Assessment-4
  • Session-1: What are Exceptions, How to Handle Exceptions using try-except-finally
  • Assessment-5
  • Session-1: Introduction to OOPs, Principles, Encapsulation, Concepts, Terminologies
  • Session-2: Working with Classes, Objects, Instances, Static & Non-Static variables
  • Session-3: Constructors, Destructors, Dunders
  • Session-4: Exception Handling in OOPs, Assertions
  • Session-5: Types of Inheritances in OOPs, Polymorphism, Abstraction
  • Assessment-6
  • Session-1: Introduction to Databases, DBMS, RDBMS
  • Session-2: DB CRUD operations, Data Transfer, DB Exceptions Handling
  • Assessment-7
  • Session-1: Introduction to Files concepts, File Handling in Python, Access Modes
  • Session-2: Reading & Writing Data, Additional File Methods
  • Session-3: Working with CSV Files
  • Session-4: Working with XML Files
  • Session-5: Working with JSON Files
  • Session-6: Exception Handling in Files
  • Session-7: Working with Files in Directories
  • Session-8: Files Synchronization using Pickle methods
  • Assessment-8
  • Session-1: Introduction to Regular Expressions, Pattern building Literals & Strings, Greedy Match
  • Session-2: Regular Expressions Functions
  • Session-3: Live Web Scraping using Regular Expression
  • Assessment-9
  • Session-1: What is Multi-Threading, Multi-Threading with Functions & Classes
  • Assessment-10
  • Session-1: What is Logging, Advantages
  • Session-2: Steps to implement Logging
  • Assessment-11
  • Session-1: What is Unit Testing, Test Case, Scenario, Suite
  • Session-2: Hands-on using ‘unittest’ built-in library
  • Session-3: Hands-on using ‘pytest’ external library
  • Assessment-12
  • Need For Distributed Computing
  • Assessment of Need For Distributed Computing
  • Timeline – Big Data Evolution
  • Assessment of Big Data Evolution
  • Apache Spark – Distributed Execution
  • Assessment of Distributed Execution
  • Apache Spark – Data Abstractions
  • Assessment of Data Abstractions
  • Introduction to Databricks
  • Assessment of Introduction to Databricks
  • Creation of Databricks Community Account
  • Assessment of Creation of Databricks Community Account
  • Databricks Workspace
  • Databricks File System (DBFS)
  • Managing Databricks Notebooks - 1
  • Managing Databricks Notebooks - 2
  • Spark SQL – 1
  • Spark SQL – 2
  • Spark SQL – 3
  • Spark SQL – 4
  • Spark SQL – 5
  • Spark SQL – 6
  • Spark SQL – 7
  • Spark SQL – 8
  • Assessment of Spark SQL Module
  • Create DataFrames - 1
  • Create DataFrames - 2
  • Create DataFrames - 3
  • Save DataFrames To Flat Files
  • Basic Operations on DataFrames
  • Advance Operations on DataFrames - 1
  • Assessment of Spark Data Frames Module
  • M-5,S-7
  • M-5,S-8
  • M-5,S-9
  • Exploratory Data Analysis | Session-1
  • Exploratory Data Analysis | Session-2
  • Exploratory Data Analysis | Session-3
  • What is Communication? The Process of Communication
  • Barriers in Communication & How to overcome
  • Behavioral Communication Styles
  • Basics on Assertive Communication
  • How to say No
  • Active Listening Skills
  • Questioning Skills
  • Communication Techniques
  • Body Language
  • Email Composition and Etiquette
  • Email Scenarios
  • Accountability & Ownership
  • Building Credibility and Rapport
  • Being Proactive
  • Being Empathetic
  • Collaboration and Teamwork
  • Dealing with Difficult People
  • Introduction to Business Etiquette
  • First Impression
  • Meeting Etiquette
  • Professional Behaviour
  • Telephone Etiquette
  • Multi-Cultural Etiquette
  • Developing Confidence
  • Being Self-organized, Independent and Disciplined
  • Attitude At Work
  • Personal SWOT Analysis
  • Time Management Introduction
  • Goal Setting
  • Creating A To-Do List
  • Personal SWOT Analysis
  • Essential Elements of making a presentation
  • Basic Presentation Flow
  • Preparing for a presentation
  • Delivering a good presentation
  • Introduction to Emotional Intelligence
  • How to develop EQ
  • IQ vs EQ
  • Flexibility & Adaptability
  • Attention to Details
  • Ethics and Integrity(Professionalism)
  • Work Ethics
  • Continuous Learning (Self Help)
  • Customers and their expectations
  • Communication = customer care
  • Dealing with difficult customers
  • Listen and learn
  • Right attitude and Skills
  • Assessment

Program Benefits

1. Hands-on-oriented sessions with elegant explanations of core concepts benefit aspirants to learn faster and start developing projects and applications.

2. Bridges the students' skill gaps in learning and build the competence for their progressive career.

3. Acts as an enabler to the working professionals to boost up their careers.

4. Our round-the-clock strong support teams assist learners throughout the program with the help of doubt-clearing sessions.

Meet Your Mentors

Bala Krishna Mamidi

Python

Bala is a Python and Machine Learning expert and holds M.Tech from NIT, Allahabad (Prayagraj, Uttar Pradesh). With over a decade and a half of experience in the IT industry, he has been a Developer, Trainer, Mentor, and Solutions Provider using technologies such as Artificial Intelligence, Machine Learning, and Big Data Analytics with Python for various domains including IT, Education, Telecom, Manufacturing, Health care, Messaging Applications, etc. He is a Python & AI/ML Subject Matter Expert and a passionate tech trainer who has been training for working professionals, and especially students, graduates, and enthusiasts bridging the gap between Academics, Learning Industry, and IT/non-IT Industries, helping them quickly land into their dream jobs and make career advancements.

Vijay Gowtham Reddy

PySpark

Vijay is a Data Science Associate Architect and holds a B.Tech from Amrita University, Bangalore. With an overall experience of a decade in the IT industry, he has implemented advanced analytics projects in the areas of Machine Learning, Natural Language Processing, and Computer Vision. He also leads the AIML Lab and focuses on leveraging an open-source tech stack to build cost-effective tools which accelerate the data science project implementations. He is adept at identifying opportunities to extract value from datasets and solve focused analytical problems to produce innovative solutions. His experience ranges across various domains like Insurance, Telecom, Retail, and Public Sector.

Program Fee

Total Admission Fee

28,000 + GST

No Cost EMI Starts at

4000/Month




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