Become Technically Strong, Learn All The Growth Hacks & Get Your Dream Job Within 5 Months With This Data Engineering Placement Assurance Program
Enroll Now @ 10000/-
Get Complete Hands-on Practical Learning Experience through Assignments & Projects for Proper Confidence Building
Get 1-1 Personal Chat Support for Doubt Clearance. Teaching Assistants will be available everyday between 6PM to 12Midnight (including weekends)
SQL is the most underrated skill of a Data Engineer. It is used to pull required data points from the complex database of clients. You need to write long queries using joins to get the relevant data points.
Python is the backbone of Data Science. It is the most widely used language for DE. It’s very easy to learn compared to other languages and non-tech people can also learn it. You need not become an expert in it. You should mainly know how to manipulate data using it.
✅ Intro to Big data
✅ Hadoop and its evolution
✅ HDFS Architecture
✅ Hadoop ecosystem intro
✅ Linux commands
✅ HDFS commands
✅ Intro to Map Reduce
✅ Different phases of Map Reduce
✅ Combiners and Partitioners
✅ Hash Function in Map Reduce
✅ Shuffling and sorting in Map Reduce
✅ Map Reduce Use Case
✅ What is Hive
✅ Hive Query Language
✅ Comparison Hive vs RDBMS
✅ Hive Architecture
✅ Hive Views
✅ Hive Subqueries
✅ Built-in Functions
✅ Partitioning
✅ Bucketing
✅ Ranking
✅ Sorting
✅ Hive File Formats
✅ Introduction
✅ Sqoop Import
✅ Sqoop Eval
✅ Sqoop Export
✅ Connecting to MySQL
✅ Sqoop Incremental
✅ Sqoop job creation
✅ Introduction
✅ Properties of HBase
✅ RDBMS vs HBASE
✅ HBASE Architecture
✅ HFile
✅ Zookeeper
✅ Update HBASE Data
✅ Delete HBASE Data
✅ Cassandra Overview
✅ HBASE vs Cassandra
✅ Filters in HBase.
✅ Scala Introduction
✅ Why Scala
✅ Datatypes
✅ Strings
✅ If/else
✅ For Loop
✅ While Loop
✅ Functions
✅ Arrays
✅ Lists
✅ Tuples
✅ SetMap
✅ Functional Program
✅ Anonymous Function
✅ Recursion
✅ Scala Operators
✅ Scala Type System
✅ What is Spark
✅ Spark comparison with Map Reduce
✅ RDD/DAG
✅ Immutability
✅ RDD Lineage
✅ Accumulators
✅ Spark Stages
✅ Spark on Yarn
✅ Spark Storge
✅ Intro to SparkSQL
✅ Handling columns in Dataframe/dataset
✅ Aggregations
✅ Window Aggregations
✅ Joins using Data Frame
✅ Broad Cast Join
✅ Shuffle sort-merge join
✅ Spark optimization
✅ Spark Streaming
✅ Introduction
✅ Kafka Architecture
✅ Index
✅ Cluster
✅ Integrating Kafka with Spark
✅ AWS EMR
✅ OnPrem vs Cloud
✅ HDFS vs S3
✅ What is S3
✅ EC2
✅ Elastic IP
✅ AWS storage, networking
✅ S3 and EBS
✅ Athena
✅ AWS Glue
✅ AWS Redshift
✅ Intro to Apache Airflow
✅ Airflow Architecture
✅ Airflow Installation
✅ Creating and viewing DAG
✅ Cron job creation
✅ Logs Viewing
✅ Sensors
The LinkedIn Growth course teaches users how to build a strong and effective LinkedIn profile, grow their professional network, and use LinkedIn to find new career opportunities. The course covers a range of topics, including profile optimization, content creation, network building, and job search strategies, and is designed to help users improve their visibility and influence on the platform.
This course teaches you how to create a strong and effective resume that highlights your skills and experience, and how to tailor your resume to specific job postings. The course covers a range of topics, including resume formatting, keyword optimization, and cover letter writing, and is designed to help you stand out from other applicants in a competitive job market.
You will be learning about other online job portals hack that will increase your chances to getting call for interviews. It covers Naukri, AngelList, Hirect etc
The HR Round Interview QnA course can help you improve your chances of success. This online learning program covers a range of common interview questions and provides tips on how to answer them effectively. The course also includes information on how to prepare for an interview, how to make a positive first impression, and how to follow up after the interview.
Some companies keep first round as aptitude to check thinking skills. In this course we have covered aptitude topics with their examples which are widely asked in aptitude round of interviews. This course is divided into Quantitative, logical and verbal aptitude sections. It will help learners to build logic on all 3 levels of aptitude.
You will get recorded Interview Mock Sessions that will help you to understand the Interview Process and question types. It covers Python, SQL, Machine Learning, Statistics etc Mock Interview Session and we keed updating it.
Data Engineering Placement Assurance Program is intended to help you make your dream career a reality. This is not just another program, this is the best career guidance available in India.
When others are charging Lakh of Rupees for courses, our vision is to provide Industry Oriented courses @ most affordable price so everyone can learn. To get you placed, we have included some amazing features in this program mentioned below:
After completion of the Core Topics, you can apply for Internship at CloudyML. You will be working on various projects that will boost up your confidence and give you Real World Industrial Working Experience that you can mention in your resume. It will be an One Month Unpaid Internship. Based on your performance we can increase the internship period. You will get Certificate of Internship.
Along with helping you to improve your CV through Resume Review, we will optimize your LinkedIn profile. You will become a more qualified applicant and increase your chances of being chosen for job interviews.
To keep you informed, we will regularly email you about new Job Openings. Additionally, you will get employment recommendations (Job Referrals) for placements. Your job search will become simpler than ever.
We have connections with many data science & engineering companies and will conduct direct interviews for placement after the completion of your course. This is an another advantage of participating in this Data Engineering Placement Assistance Program.
You will have the opportunity to participate in an unlimited number of mock interview sessions with industry experts. It will sharpen your mind, give you more clarity, and prepare you for interviews. You can start giving the Mock Interviews after completing the Core Topics from the course.
We will give you dedicated placement assistance from our team to land you on your dream job. When others are charging more than 2 Lakhs, here in CloudyML you have to pay Rs.50,000 after getting a job with the help of our team.
After completing the course, if you get job by your own then you do not have to pay us anything.
Minimum we can guarantee 6LPA for freshers. For experienced people we can provide minimum 20% hike if they have 2 years of relevant experience ( or if they are able to show 2 years of experience). If you will get anything lesser then you do not have to pay us anything.
You will be signing a Pay-After-Placement Agreement with us after your course completion and we will start finding your dream jobs for you.
More than 13000+ learners are getting benefits from our courses and we are helping them to achieve their dreams by enhancing their skills to Supreme Level with this Roadmap.
( Get More Than 80% Discount Today )
+ 18% GST
I have transitioned my career from Manual Tester to Data Scientist by upskilling myself on my own from various online resources and doing lots of Hands-on practice. For internal switch I sent around 150 mails to different project managers, interviewed in 20 and got selected in 10 projects.When it came to changing company I put papers with NO offers in hand. And in the notice period I struggled to get a job. First 2 months were very difficult but in the last month things started changing miraculously.I attended 40+ interviews in span of 3 months with the help of Naukri and LinkedIn profile Optimizations and got offer by 8 companies.
Based on my career transition and industrial experience, I have designed this course so anyone from any background can learn Data Science and become Job-Ready at affordable price.
Data Scientist @CloudyML
Data Scientist @IBM | ex-TCS
Data Engineer @ ADI || MTech (CSE) @ IIT Bhubaneswar || Ex-Research Intern @IIT KGP
Data Scientist @ Karza Technologies
Data Scientist @ HSBC
Software Engineer (Machine Learning) @ Teradata
Success Stories
Total Learners
Social Media Followers
⦿ We provide complete hands-on practical learning experience to our learners which we are doing through our structured tutorial videos and most importantly Assignment & Projects Driven Courses that you will not get anywhere.
⦿ Our vision is to provide courses are Most Affordable Price so anyone from any background can learn from it. Nowhere you will get such valuable contents and features in a single course at such price.
⦿ We provide 1-1 Chat Support for Doubt Clearance daily so learners can study smoothly and fast. Other institutes provide support over Email or provide only online community based support which is not that much beneficial.
⦿ We provide lifetime course content access and it is a self-paced course as well so anyone can learn according to their time and manager their work and study.
⦿ We keep tracking our learners progress and also connect with them over Call/Chat to guide them and help them to achieve their goals.
This course has been designed keeping beginners in mind. You will be able to learn as we start from basics. We have many learners doing this course who had no prior coding experience.
In fact, 30% of our Data Science & Analytics Course learners are from non-coding background like mechanical, civil, commerce, arts, MBA, BCA, bio-tech, etc and they are getting jobs and other benefits after completing this course.
In this Data Engineering Course, you will get the same vibes and support from our team and you will become job-ready after your course completion.
Yes, our Data Engineering course is not complete yet but there will be no issues in your learning. We are continuously working on this course and adding content regularly. If you will enroll and start your learning today then you will be learning smoothly and it will take at least 2 months to complete the syllabus which is present right now in the course.
In coming 2 months, more topics gonna be available in our course portal so basically you will get complete learning experience without lacking of the content.
In general, it may take around 5-6 Months to complete the course if you give 2-3 Hours per day. It is a Self-Paced course with lifetime access, you can learn according to your time.
The course is designed in the form of videos & Assignments. In Assignments we have topic wise video links followed by related questions. You are supposed to code the solutions.
If you are stuck somewhere then you can reach to our mentors. They are available from 6P.M to 11:59 P.M everyday. After completion you need to submit the assignment and you will receive the solution file.
We will assign you Experienced Data Engineers from our team who will resolve all of your doubts and queries within 10-20 mins. They will be available everyday between 6pm to 12 midinght to resolve your queries over chat.
You will get dedicated 6 hours of personal chat support for your doubt clearance. On the app chat, you can sent Text Messages, Images, Voice Recording, Videos and files and your Teachning Assistant will guide you and resolve your doubts within 10-20 mins. This support will be available everyday and comes with lifetime access so you can chat after your course completion as well.
After completing the course, you can apply for the internship part from your course portal. There will be one basic interview to test your skills and also we will check your submitted assignments. If you will pass in this process then you can instantly start your remote internship with CloudyML. If you will be not ready then we will give you 2 week of time for preparation and then again you can give the interview.
Yes, you will get lifetime access of the videos, assignments and projects. Also you will get future course updates for free.
It’s one time payment and you will get lifetime access to this course experience.
After making the payment, your account will automatically create in our learning portal.
You will get the login credentials of the learning portal via mail instantly just after your enrollment to the course.
We do not have refund policy. Please visit our page for more details
