₹3 LPA to ₹12 LPA
A data analyst, on average, can make around ₹3 Lakh PA. On the other hand, an experienced analyst can make around ₹12 Lakh PA.
Job Opportunities
As per the reports of IBM, the number of data analyst jobs in the United States of America will cross the mark of 2,720,000 in the upcoming years.
Future Analytics
As per a survey, most of the companies, by the year 2023, will start storing their data for analysis in the public cloud warehouses.
Program Overview
The data analytics training program will help you gain in detail knowledge of vital data analytics technologies. Moreover, the course will help you master the skills that are necessary to become a confident data analyst. For example, you will master skills like Tableau, R, Python, SQL, etc. The main aim of this training program is to help students develop skills that are essential for marketing themselves as skilled data analytics professionals. After going through this course, you can get a job as a:
- Junior Data Analyst
- Junior Data Scientist
- Finance Analyst
- Business Intelligence Analyst
- Data Engineer
There are lots of excellent opportunities from which you can choose after completing the data analytics training program. This is because today, a large number of organizations and government agencies rely upon data analytics to improve their company's performance. As a result, today, every organization is searching for data experts such as data scientists, data engineers, etc. that can help them transform their data into powerful business insights. Thus, pursuing your career in the data analytics industry can be very beneficial for you.
- According to a survey of IBM, the number of data analyst jobs in the United States of America will cross the mark of 2,720,000 in the upcoming years.
- Ample of excellent opportunities are available for students who pursue their careers in the data analytics industry. For example, you can get a job as a data analyst, data scientist, etc.
- As per a survey, most of the companies, by the year 2023, will start storing their data for analysis in the public cloud warehouses.
- As per a survey, the data analytics market is expected to grow with a compound annual growth rate of 25% till the year 2030.
The popularity of data analytics is growing with every passing day. This course will help you gain in detail knowledge of vital data analytics technologies. Furthermore, the main aim of the training program is to help students become familiar with the advantages of using data analytics.
With project-based training and lots of quizzes and assignments, you will gain the knowledge and skills that are essential for getting placed as an analyst in a reputed company.
After completing the data analytics training program, you can easily get placed in a respected company or firm with handsome remuneration of ₹ 3,00,000-₹12,00,000.
As per a survey, 2,720,000 job opportunities will be created in the data analytics industry in the upcoming years.
The main aim of the data analytics training program is to make students familiar with all the concepts of data analytics and various tools used for performing data analytics. Besides this, you will learn to use data analytics to help a firm grow and improve its performance and profits.
Things you will learn:
- Data fundamentals
- How to work with different data tools?
- Importance of data analytics
- Data analysis
The objective of this data analytics course is to give students quality data analytics training to students and make them experts in working with different data analytics technologies. The course is developed in partnership with data experts and keeping in mind the changing demands of the data analytics industry.
Phone (For Voice Call):
+91-971 152 6942WhatsApp (For Call & Chat):
+918287060032Tools Covered of Masters in Data Analytics
Masters in Data Analytics Curriculum
You will first learn the basic statistical concepts for Data Analytics using Python.
Course Content
- Module 1 : Python for Data Analytics
- 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
- List
- Tuple
- Dictionary
- Sets
- Strings
- 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.
Course Content
- Module 2 : Data Analysis and Visualization
- Data Analysis and Visualization using Pandas.
- Statistics
- Pandas
- Data Analysis and Visualization using NumPy and MatPlotLib
- NumPy
- MatPlotLib
- Introduction to Data Visualization with Seaborn
- Introduction to Seaborn
- Visualizing Two Quantitative Variables
- Visualizing a Categorical and a Quantitative Variable
- Customizing Seaborn Plots
SQL for Data Analysis is a very useful programming language that helps data analysts to interact with data stored in databases. SQL is the most used data analysis tool for data analysts and data scientists because the majority of the world's data is stored in databases.
Course Content
- Module 3 : MS SQL and SQL
- SQL Server Fundamentals
- SQL Server 2019 Database Design
- SQL Tables in MS SQL Server
- 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
Statistics Essentials for Data Analytics provides complete knowledge about the Statistical Techniques. In Statistics Essentials For Analytics you will learn how every technique is employed on a real world data set to analyse and conclude insights.
Course Content
- Module 4 : Statistics for Data Analytics & EDA
- Introduction to Data Analytics
- 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
Excel is one of the most popular data analysis tool, to help visualize and gain insights from your data. Analytics with Excel helps you to boost your Microsoft Excel skills.
Course Content
- Module 5 : Analytics with Excel
- Understanding Concepts of Excel
- Ms Excel Advance
- MIS Reporting & Dash Board
Power BI is a cloud-based business analytics tool that provides rapid insight and is used to analyze, extract and visualise data.
Course Content
- Module 6 : Analytics 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
Here, at Croma Campus, you will get the opportunity to enroll in Data Analytics Live Projects.
Course Content
- Module 7 : Data Analytics Professionals - Live Projects
You will get certificate after completion of program
- - 9 Months Online Program
- - 120+ Hours of Intensive Learning
- - 10+ Assigments & 4+ Projects
- - 4 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.
Industry Project
Real-life Case Studies
Work on case studies based on top industry frameworks and connect your learning with real-time industry solutions right away.
Best Industry-Practitioners
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.
Collaborative Learning
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.
Demand for data experts is expected to grow a lot in the market in the coming years. According to a survey, around 2,720,000 data analytics job opportunities will be created in the US job market. Moreover, a data expert can also get a hefty paycheck for his services. As per the Glassdoor website, data analytics can make approximately ₹3,00,000-₹12,00,000 PA. In simple words pursuing your career in the data analytics industry can be very beneficial for students.
Data analysts help a firm in interpreting and representing its data in different forms for extracting or deriving actionable insights. Moreover, an analyst also helps a firm in segregating and simplifying data from various systems. A competent analyst must be proficient in working with different Microsoft products like MS Excel, MS Access, MS SQL, etc. Besides this, he should have adequate knowledge about data mining, data modeling, and various data visualization tools/software. On average, a data analyst can make approximately ₹3,00,000-₹12,00,000 PA.
Data scientist helps a company to collect/analyze data that can be communicated to the stakeholders as actionable insights. A data scientist often works with complex data and requires expertise in data analytics, R programming, various data visualization tools, etc. On average, a data scientist can make approximately ₹5,00,000-₹21,00,000 PA.
A financial analyst is a data analyst who is an expert in the finance domain and uses financial data to provide actionable insights to a firm. This role is perfect for expert data analysts that have a background in finance. Besides this, a financial analyst must be an expert in working with different financial assets such as bonds, stocks, etc. On average, a financial analyst can make approximately ₹3,00,000 to 12,00,000 PA.
A business intelligence analyst uses BI tools for converting raw data of an organization into insights. A business intelligence analyst must be an expert in working with different BI tools and data visualization tools. Furthermore, he should be proficient in creating charts, graphs, and reports. On average, a business intelligence analyst can make approximately ₹4,00,000-₹14,00,000 PA.
A data engineer has to work with massive data sets. Moreover, he is responsible for optimizing the infrastructure as well as the data analytics process of an organization. Data engineers must be proficient in data visualization and programming. Plus, he should also have some sort of experience in developing/testing solutions. On average, a data engineer can make approximately ₹4,00,000-₹16,00,000 PA.
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.
Admission Process
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.
₹ 49,400 (Excluding of GST)
Frequently Asked Questions
- Passion for learning
- Go-getter attitude
- Basic computer knowledge
- Basic knowledge about data analytics
No, you don't need to know how to code for enrolling yourself in this course.
- Lots of job opportunities Enhances firm's productivity Helps in preventing frauds Gives access to important data insights
- ISO certified training institute
- Project-based training
- Industry recognized certification
- Learn under a data analytics expert
8 Months.
You can expect to earn ₹3,00,000-₹12,00,000 PA as a data analyst.
Following are the services that you will get from Croma Campus:
- 100% placement support
- Resume building
- Personality development
- Soft-skills development
- Mock interviews
- Technical skills development
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
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