Data Scientist/Engineer - Junior
Company: SynergisticIT
Location: Austin
Posted on: May 6, 2024
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Job Description:
Hello,
We appreciate you showing interest in our Job placement program.
This program is a fee-based program wherein you pay partial fees
before enrolling and the remainder fees (Payable in installments
over 2 years) once you secure a Job which pays you a minimum salary
of $75,000 P.A. or more.
I am attaching the Presentation with this email which explains
everything about our program, includes some videos about
SynergisticIT and events etc. which we attend for connecting with
the tech industry, cost of the program and technologies covered in
the program and the methodology.
Once you have gone through the presentation please reply and let me
know your interest in pursuing the program via email, text at
510-347-8118.
After that we will have a phone call to discuss and evaluate your
suitability for our program.
If you feel the program is expensive you are 100% correct. However,
it's because of the result-oriented nature of our program.
I can go over the details over a call if you are interested in the
program and are comfortable with the investment in the program.
Please do understand the final decision about the suitability of
your candidature for our program will be made by my manager via a
zoom call which will involve a discussion about your experience,
skill set, personality, attitude and communication skills and
ability to commit to the program.
FULL-TIME JOB PLACEMENT PROGRAM(REMOTE/FULL-TIME):
Under this program, we will make you stand out from the rest of the
jobseekers by offering Skill enhancement training on the
technologies in-demand including time management skills, study
skills, test-taking skills, and learning strategies after which we
can assist candidates in getting jobs as software programmers /
Java Programmers / Data scientists / Machine learning engineers /
Data analysts. Herein we first give real-time hands-on experience
on the technologies by the experts working in the industry(6-7
trainers), get candidates certified with IT Certifications given by
Microsoft, Oracle, Amazon, IBM, Udemy like
AWS/JAVA/SQL/TABLEAU/POWER BI/SAAS/EXCEL(Sessions to be attended
separately), gives real-time projects to practice the technologies
and get professional-level experience in the real-world scenario,
prepare candidates for all types of Coding/Interview assessments,
behavioral questions, and finally market and arrange the
interviews(unlimited) for the FULL-TIME positions until they get an
offer with our Fortune-500 technology clients on their direct
payroll(W2 - NO CONTRACTS, NO SALARY CUTS).
We offer 2 tracks:
https://www.synergisticit.com/technology-up-skill-programs/
Kindly go through the course contents in each of these
technologies:-
1) Java track
Java Track - SynergisticIT
In the Java track, we will cover JAVA, AWS, MERN STACK, HADOOP.
JAVA PROGRAM teaches you from scratch and requires no coding
experience from learners. You'll be given an introduction to JAVA
and OOPS and its related technologies like SERVLET, JSP, JQUERY,
HIBERNATE, SPRING, JAVASCRIPT, and MICROSERVICES.
Introduction to Java, Oops Concepts
Multi-threading,
Exception Handling, Java API's
JSP, Servlets
How to deploy a web application
jQuery , AJAX, JavaScript, JSON, Jenkins, GitHub,
Spring MVC, Spring Core, Spring Boot, Rest Webservices, Hibernate,
Spring Security, Microservices.
JPA, AOP in Spring, Spring IOC , REST API's , etc.
MERN STACK will give you a better and in-depth understanding of
CSS, HTML, JAVASCRIPT, MONGO DB, EXPRESS.JS, REACT, NODE.JS.
Express. JS, React.JS, MongoDB using Mongoose, Bootstrap,
Redux.
PL/SQ/ORACLE and Databases
Also Pl/SQL, stored procedures and triggers and databases like SQL,
Oracle and Mysql and servers like Tomcat and J-boss.
In HADOOP, you'll be given an introduction to BIG DATA, APACHE
HADOOP, HADOOP ECOSYSTEM, CLOUDERA QUICKSTART VM along with core
concepts of the Hadoop framework including MapReduce, HIVE, PIG,
SQOOP, FLUME, HBASE, OOZIE.
DATA STRUCTURES AND ALGORITHMS - Java programmers use data
structures to store and organize data, and we use algorithms to
manipulate the data in those structures.
Data structures ex: Arrays, Linked List, Stacks, Queues
Algorithms Examples:
--- Breadth-First Search (BFS) Depth-First Search (Client)
--- Insertion of a node in Linked List (On the basis of some
constraints)
--- Longest Common Subsequence
--- Binary Search
--- Find Minimum Depth of a Binary Tree
AWS training includes all the fundamental concepts, infrastructure
security, services of AWS like Amazon route, Amazon VPC, Elastic
IP, Amazon EC2, Amazon RDS, AWS Direct connect. As programmers are
supposed to be able to deploy their code to the cloud
You learn AWS architecture, storage services, Content delivery,
Compute services like AWS lambda, Beanstalk, AWS EC2, Auto scaling
and load balancing.
Feel free to take a free 5-minute java test:-
https://www.synergisticit.com/java-5-minute-test/
2) Data Science/Machine learning track
Data Science Track - SynergisticIT
Data science will have an introduction with PYTHON, further into
numerical python, PANDAS DATA ANALYSIS, DATA VISUALISATION.
Machine learning will cover everything from data science,
Artificial intelligence, business analytics, deep learning, and
computer science.
Python will be covered along with Django and Scala in depth.
PL/SQ/ORACLE and Databases
AWS training includes all the fundamental concepts, infrastructure
security, services of AWS like Amazon route, Amazon VPC, Elastic
IP, Amazon EC2, Amazon RDS, AWS Direct connect.
DATA STRUCTURES AND ALGORITHMS
In our Data science track we prepare you to get job as one of the
following: Python developer, a data analyst, data visualization
developer, a statistician, a machine learning engineer or a data
scientist.
Our data science track covers most of the below: Topics and content
might change based on the market requirements
Python
NumPy and Pandas
Matplotlib data visualization
Difference between Machine learning, Artificial Intelligence and
Deep learning
Data Manipulation: Cleansing-Munging
Data Analysis. Statistics
Tableau and Power BI
PL/SQL and databases both SQL and NoSQL
Data structures and algorithms
Artificial Intelligence and Machine learning
Machine learning Algorithms
Decision Tree and Random Forest Algorithms
Na--ve Bayes and KNN Algorithm
Support Vector Machine (SVM)
Statistics
Random variables, Zscore, Hypothesis testing, Expected Value
Predictive Modeling: Different kind of Business problems and
different phases of Predictive modeling and Popular Modeling
Algorithms. Data exploration, Data preparation.
Web scraping using Python Beautiful soup. What is web scraping
(Difference between web scraping software vs a web browser) , what
is parser?
Time series Analysis
Different algorithms like Decision Tree and Random Forest
algorithms, Support Vector Machine Algorithm
Deep Learning and Computer vision
Neural Networks, Tensor Flow and Keras
Natural language processing (NLP) and Text mining
Market Basket Analysis
NLP with Python, Sentiment analysis
Linear regression, Scikit Learn, Confusion matrix, Decision tree,
Ensemble approach
Random forest, Cross validation.
XGboost, Hierarchical clustering, Polynomial Regression
Regards,
Keywords: SynergisticIT, College Station , Data Scientist/Engineer - Junior, Engineering , Austin, Texas
Click
here to apply!
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