₹6 LPA to ₹ 35 LPA
A fresher Data Scientist can earn almost ₹6,00,000 per year. On the other hand, an experienced can earn almost ₹35,00,000 per year.
There is huge demand of Data Science professionals in Industry. As per a survey, around 190k data science jobs are created every year.
As per a survey, more than 15 million Data Scientist jobs will be created in the field of data science by the year 2026 around the globe
The data science professional training program will help you master the key skills that are necessary for becoming an expert in data science. In this course, you will learn about ML, DL, statistics, python, etc. Moreover, you will learn to develop data models for analyzing data and extracting useful/meaningful insights. You will also become proficient in performing linear and logistic regression and cluster & factor analysis. After completing the data science professional training program, you may get various types of job opportunities in big organizations. For example, you may get an opportunity to work as an:
- Data Analyst
- Data Scientist
- Machine Learning Engineer
- Marketing Analyst
- Functional Analyst
There is a huge demand for competent data science professionals in the market. Students who complete the data science professional training program may get various types of roles and jobs in an organization. This is because of the benefits that a data science professional provides to a company or organization. This is why many organizations are more than happy to give big paychecks to data science professionals for their services.
- As per a survey, around 190k data science jobs are created every year. And the number is increasing day by day.
- Data experts who pursue their careers in the data science field can get various types of roles and jobs in an organization such as Data Scientist, Marketing Analyst, Functional Analyst.
- As per the study of McKinsey Global Institute, there is a shortage of 2 lakh data science experts in the world.
- As per a survey, more than 15 million Data Scientist jobs will be created in the field of data science by the year 2026 around the globe
The demand for data science professionals is increasing in the market with every passing day. This is because of the benefits that an organization gets from the service of a data scientist. By joining this course, you will acquire all the skills that are essential/important for becoming an expert data science professional. Furthermore, you will learn to develop data models for analyzing data and extracting useful/meaningful insights.
With project-based training under an expert data scientist, you will acquire all the skills that a competent data scientist must have.
Students who join the data science professional training program can guarantee themselves a fulfilling and successful career as a data science professional. Moreover, you will earn a hefty remuneration as a data scientist. On average, a data scientist can earn around ₹6,00,000-₹22,00,000 PA.
As per a survey, the data science industry will create around 11.5 million jobs by the year 2026.
The data science professional training program aims to provide quality data science education to aspiring data scientists and make them experts in working with data. Additionally, you will learn to work with various data collection and data visualization tools and software.
Things you will learn:
- Fundamentals of data science
- How to work with various data collection and data visualization tools?
- Major duties of a data scientist
- How to perform cluster and factor analysis?
- Python, ML, DL, etc.
The main objective of the data science professional training program is to make aspiring data experts competent data scientists. The course covers all the concepts and skills that a skilled data professional must master. The training program fulfills the emerging demands of the data science industry and is developed in partnership with working data science professionals.
Tools Covered of Professional in Data Science
Professional in Data Science Curriculum
Data Science is a powerful analytics platform to make discoveries. By using different aspects of computer science, data visualisations, data analytics, statistics, R and Python Programming in data science, you may convert voluminous data into meaningful contents.
- Module 1 : Python for Data Science
- Introduction To Python
- Python Keyword and Identifiers
- Introduction To Variables
- Python Data Type
- Control Structure & Flow
- Python Function, Modules and Packages
- Python Date Time and Calendar:
- Python Exception Handling
- Python File Handling
- Python Database Interaction
- Contacting user Through Emails Using Python
- Reading an excel
- Complete Understanding of OS Module of Python
Data visualization is the graphical way to representation of information and data. By using visual elements like graphs, maps and charts. Data visualization tools provide an accessible easy way to see and understand the data.
- Module 2 : Data Analysis and Visualization
- Data Analysis and Visualization using Pandas.
- Data Analysis and Visualization using NumPy and MatPlotLib
- Introduction to Data Visualization with Seaborn
- Introduction to Seaborn
- Visualizing Two Quantitative Variables
- Visualizing a Categorical and a Quantitative Variable
- Customizing Seaborn Plots
Microsoft SQL Server is a relational database management system (RDBMS) that supports a wide variety of transaction processing, business intelligence and analytics applications in corporate IT environments. In order to experiment with data through the creation of test environments, data scientists make use of SQL as their standard tool, and to carry out data analytics with the data that is stored in relational databases like Oracle, Microsoft SQL, MySQL, we need SQL.
- Module 3 : MS SQL and SQL
- SQL Server Fundamentals
- SQL Server 2019 Database Design
- SQL Tables in MS SQL Server
- Data Validation and Constraints
- Views and Row Data Security
- Indexes and Query tuning
- Stored Procedures and Benefits
- System functions and Usage
- Triggers, cursors, memory limitations
- Cursors and Memory Limitations
- Transactions Management
This module offers knowledge to introduce you to the basic principles based on statistical methods and procedures followed in data analysis. This course will help you to understand the work process involved with summarizing the data, data storage, visualizing the data results, and a hands-on approach with statistical analysis with python.
- Module 4 : Statistics for Data Science & EDA
- Introduction to Data Science
- Accessing/Importing and Exporting Data
- Data Manipulation: Cleansing - Munging Using Python Modules
- Feature Engineering in Data Science
- Data Analysis: Visualization Using Python
- Introduction to Statistics
- Introduction to Predictive Modelling
- EDA (Exploratory Data Analysis)
- Data Pre-Processing & Data Mining
Machine learning courses help to understand the complete concepts behind the processing of Artificial intelligence and Computer science. With the Machine learning course, you will cover topics based on supervised and unsupervised learning along with the development of software and algorithms to extract predictions based on data.
- Module 5 : Machine Learning
- Introduction to Machine Learning
- Techniques of Machine Learning
Deep learning is the most effective skill in AI. The course is intended to provide a complete foundation over the deep learning algorithms that help you to understand the process to build neural networks. The course of deep learning will help you to successfully handle the Machine learning projects needed by the organization today.
- Module 6 : Deep Learning
- Introduction to Deep Learning
- Deep Learning Networks
The Power BI course assists the user to understand the way to install Power BI desktop also by understanding and developing the workshop and insights using the data. It offers tools and techniques that are used to visualize and analyze data. The course will help you to learn and grab insights on everything an organization need; to manage the data with Power BI.
- Module 7 : Microsoft Power BI
- Introduction to Power BI
- Power BI Desktop
- Power BI Data Transformation
- Modelling with Power BI
- Data Analysis Expressions (DAX)
- Power BI Desktop Visualisations
- Introduction to Power BI Dashboard and Data Insights
- Direct Connectivity
- Publishing and Sharing
- Refreshing Datasets
The training offers complete career transitioning projects based on the current needs of the organization. These projects are guided by experts and help you to add more value to your profile. You will learn to initiate data science projects based on a high-level perspective helping you to understand and articulate the innovative solutions for topical real-time data science projects.
- Module 8 : Data Science Professionals - Live Projects
You will get certificate after completion of program
- - 6 Months Online Program
- - 90+ Hours of Intensive Learning
- - 10+ Assigments & 4+ Projects
- - 2 Live Projects
- - Build an Impressive Resume
- - Get Tips from Trainer to Clear Interviews
- - Attend Mock-Up Interviews with Experts
- - Get Interviews & Get Hired
Get Ahead with Croma Campus master Certificate
Our Master program is exhaustive and this certificate is proof that you have taken a big leap in mastering the domain.
The knowledge and skill you've gained working on projects, simulation, case studies will set you ahead of competition.
Talk about it on Linkedin, Twitter, Facebook, boost your resume or frame it- tell your friend and colleagues about it.
Real-life Case Studies
Work on case studies based on top industry frameworks and connect your learning with real-time industry solutions right away.
All of our trainers and highly experienced, passionate about teaching and worked in the similar space for more than 3 years.
Acquire essential Industrial Skills
Wisely structured course content to help you in acquiring all the required industrial skills and grow like a superstar in the IT marketplace.
Hands-on Practical Knowledge
Case studies based on top industry frameworks help you to relate your learning with real-time based industry solutions.
Take your career at the top with collaborative learning at the Croma Campus where you could learn and grow in groups.
Assignment & Quizzes
Practice different assignments and quizzes on different topics or at the end of each module to evaluate your skills and learning speed.
Placement & Recruitment Partners
We provide 100 percent placement assistance and most of our students are placed after completion of the training in top IT giants. We work on your resume, personality development, communication skills, soft-skills, along with the technical skills.
There is a big demand for competent data science professionals in the market, and as per surveys, this demand is going to increase even further in the coming years. According to a survey, around 190k data science jobs are created every year. In short, there is no shortage of jobs and growth opportunities in the data science field. Besides this, a data scientist can earn a respectable amount of money by working for an organization. On average, a data science professional can earn approximately ₹6,00,000- ₹22,00,000 per year.
A data analyst collects and cleans data and interprets it to answer a question or to solve a business problem. He is responsible for mining data, designing data systems, and using various statistical tools for interpreting data. A data analyst must have knowledge of SQL, Python, Tableau, etc. A data analyst, on average, can earn approximately ₹2,00,000 – ₹12,00,000 per year.
Data scientists are data experts that work with large volumes of data. They work in partnership with stakeholders to identify issues and use business data to give solutions for identified issues. Additionally, they design algorithms for merging, managing, and extracting data for creating reports. A data scientist must have knowledge of data science, mathematics, statistics, and operational research. A data scientist, on average, can earn approximately ₹6,00,000 – ₹22,00,000 per year.
A machine learning engineer develops self-running software for a firm to automate predictive models. They develop AI systems that use big data sets for developing algorithms that are capable of learning themselves and making accurate predictions on the basis of given data. A machine learning engineer must have knowledge of applied mathematics, computer science, ML, neural networks, etc. A machine learning engineer can earn approximately ₹7,00,000 – ₹20,00,000 per year.
A marketing analyst tracks the advertising cost of a firm, research consumer behavior, and explore market trends for finding opportunities. A competent marketing analyst must be proficient in running PPC campaigns and processing/analyzing the marketing data of a firm. On average, a marketing analyst can earn approximately ₹4,00,000- ₹16,00,000 per year.
A functional analyst analyzes a company's processes for fulfilling the needs and requirements of customers. A functional analyst acts as a link between the end-users and the technical team who is responsible for developing the product. A functional analyst must have knowledge about IT principles, advanced excel, SQL, etc. On average, a functional analyst can earn approximately ₹7,00,000- ₹17,00,000 per year
Croma Campus has tie-ups with more than 150 companies such as Wipro, HP, Tech Mahindra, HCL, etc. Thus, by completing your training from here, you may get a chance to work as a data scientist in some of the leading companies in the world. Besides this, once you complete your training, you may get placed with a salary package of ₹6,00,000 or more.
On the completion of the course, you may work in various domains like manufacturing, It, healthcare, telecom, and more. Also, most of the students get 200 percent hike after completing this course. The average you will get 6 lac p.a. and for a little more efforts you may acquire salary packages up to 12 lacs p.a.
You can apply for the master program online at our site. Mark the important date and time related to the program and stay in touch with our team to get the information about the program in detail.
Once you submit your profile online, it will be reviewed by our expert team closely for the eligibility like graduation degree, basic programming skills, etc. Eligible candidates can move to the next step quickly.
Eligible candidates have to appear for the online assessment based on your graduation and basic programming knowledge. Candidates who clear the exam will appear for the interview and finally they can join the program.
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₹ 38,000 (Excluding of GST)
Frequently Asked Questions
- Passion for learning
- Go-getter attitude
- Basic computer knowledge
- Basic data science knowledge
- High demand
- Lots of job opportunities
- Great pay
Yes, you can learn data science even if you are not good at programming.
A data science professional can earn approximately ₹6,00,000- ₹ 35,00,000 per year.
You will get training from an expert data science professional.
- ISO certified training institute
- Project-based training
- Industry recognized certification
- Learn under a skilled data science professional
If you like our Curriculum
What You will get Benefit
from this Program
- Simulation Test Papers
- Industry Case Studies
- 61,640+ Satisfied Learners
- 140+ Training Courses
- 100% Certification Passing Rate
- Live Instructor Online Training
- 100% Placement Assistance