Roles of Data Science Course
Data Analyst | Data Engineers | Data Scientist | Data Architect | Statistican | Business Analyst
About Data Science Course
From this Data Science Training, you will get real-time exposure in statistics, Machine Learning, Deep Learning, Tensorflow, Artificial intelligence, and machine learning algorithm Concepts. This course includes concepts from statistics, computer science, & software engineering. We learn the necessary skills to manage & analyze data. We learn concepts such as exploratory data analysis, statistical inference, machine learning, & high dimensional data analysis.
What are objective of our Data science training?
We, at Jarvees Academy, provide the best training for the Data Science course. We have designed the course in such a way that helps to kickstart your career into the data science field and to take up different roles such as Data Scientist, Data Engineer, Data analyst and so on.
We design the syllabus as per the latest industry standards.
Our trainers provide real-time training with live projects which will help you to have a deeper understanding of the subject.
- We provide the training in various modes such as online, classroom on both weekday and weekend batches.
- Our training schedule is very flexible to suit your available timings.
- Our Data science course will help you to crack-related interviews in top MNCs since our trainers will guide you throughout the process by sharing their real-time experience in relevant fields.
- Our trainers will share with you their experience and guide you to solve real-time problems. Either Online or classroom training is mandatory to start a career in Data Science.
Why Should you go for Data Science Training?
- Data Science has become the "buzzword" of the decade. Harward business review has called it the "hottest job of the 21st century". Data Scientist and Data architects are one of the highest-paid roles nowadays. According to Linkedln, Data Scientist is one of the most promising jobs in 2018.
- According to UNECE statistics, Global data growth has increased from 5 ZB(ZettaBytes) in 2014 to 40 ZB in 2020. It is evident that Global data has been increasing at an enormous rate. Hence, Data science is the future.
- Those who are passionate about working with cutting edge technologies should really consider a career in Data Science.
Who should go for Data Science Training?
- Candidates having some database experience can move to Data Science.
- Top MNCs look for professionals with Data Science experience for various Data Science roles such as Data Engineer, Data Scientist, Data analyst, etc.
- This training is suitable for software professionals preferably from programming and database background.
- A lot of professionals have migrated from their current developer role to the Data Science field.
- Anyone who wants to explore data patterns and has a passion for data analytics can come out with flying colors.
How will Data Science Training help your Career?
- Since top companies don't usually prefer freshers for these roles, experience in real-time Data science projects will be an added advantage.
- Our training is focused on covering all basic syllabus related to Data Science along with real-time Lab exercises. Our live projects will help you to understand the subject in an extensive way and prepare you to face interviews with top companies for Data science roles.
- Our trainers will share with you their experience and guide you to solve real-time problems. Either Online or classroom training is mandatory to start a career in Data Science.
What are prerequisites for Data Science Training?
- Good Programming skills in at least one programming language. Knowing Python or R language will be helpful
- Database skills. Eg: SQL. Good analytical and mathematical skills.
- Good Programming skills in at least one programming language. Knowing Python or R language will be helpful
- Database skills. Eg: SQL.
- Good analytical and mathematical skills.
What Skills will you learn in Data Science Training?
Companies prefer people with relevant experience to fill their Data science-related positions. The two common languages used are Python and R along with SQL.
The following are the skills that are associated with data science.
- Programming knowledge in languages such as Python, R, Java, etc.
Data skills: Database background will really be helpful. Having worked extensively with databases such as Mysql, MSSQL, Postgre, MongoDB, Oracle, NoSQL, etc will be an added advantage.
- Descriptive Statistics: To gather data and to analyze sample data and summarize it.
Data visualization: To help view the data using visual representations like graphs, plots and help understand the correlation, time series, ranking, deviation, and geographical differences.
- Statistical modeling: The idea of generating sample data based on given large data.
- Big data: Dealing with complex and very large data sets. Spark, Hive, MongoDB, Amazon Redshift, Apache Kafka have become the common choice for big data platforms.
- Machine learning algorithms: The statistical modeling and algorithms that make predictions based on data.