Last Updated on July 21, 2021 by Admin
Table of Contents
Business Analytics Online Courses
What is Business Analyst (BA)
A business analyst (BA) is someone who analyzes an organization or business domain and documents its business or processes or systems, assessing the business model or its integration with technology. He or she helps in guiding businesses in improving processes, products, services, and software through data analysis.
Demand for Business Analyst
The Bureau of Labor Statistics estimates the need for business analysts to increase 14% by 2024. This is one of the highest average percentages among growing occupations. Let’s take a closer look at upcoming opportunities for business analyst professionals as the evolution of big data takes shape.
In India close to 97,000 positions related to analytics & data science are currently available to be filled in 2019. There has been an overall growth in the number of jobs in analytics and data science ecosystem with India contributing to 6% of open job openings worldwide.
Business Analyst Salary
Average Business Analyst Salary In India: Rs 6,13,398 per annum (Source: Payscale)
Average Business Analyst Salary In the US it is $68,218 per annum (Source: Payscale)
Top Job Profiles In Business Analyst
- Analytics Manager,
- Business Analyst,
- Research Analyst,
- Data Analyst,
- SAS Analyst,
- Analytics Consultant,
- Statistical Analyst,
- Hadoop Developer
Top 10 Business Analyst Courses
Considering the future market demand for business analyst, it would be a better career option for the engineers. Find here the top 10 data and business analyst courses by one of the leading online learning platform Udacity.
Build expertise in data manipulation, visualization, predictive analytics, machine learning, and data science. With the skills you learn in the following programs, you can launch or advance a successful data career.
Start acquiring valuable skills right away, create a project portfolio to demonstrate your abilities, and get support from mentors, peers, and experts in the field.
1. Business Analytics
In this program, you’ll learn foundational data skills that apply across functions and industries. You’ll learn to analyze data and build models with Excel, query databases using SQL, and create informative data visualizations with Tableau.
Estimated Time: 3 months At 10hr/week
Prerequisites: None
2. Data Analysis with Python and SQL
Advance your programming skills and refine your ability to work with messy, complex datasets. You’ll learn to manipulate and prepare data for analysis, and create visualizations for data exploration. Finally, you’ll learn to use your data skills to tell a story with data.
Estimated Time: 4 Months At 10 hrs/week
3. Data Engineering
Learn to design data models, build data warehouses and data lakes, automate data pipelines, and work with massive datasets. At the end of the program, you’ll combine your new skills by completing a capstone project.
Estimated Time: 5 months, At 5 hrs/week
4. Data Scientist
You’ll master the skills necessary to become a successful Data Scientist. You’ll work on projects designed by industry experts, and learn to run data pipelines, design experiments, build recommendation systems, and deploy solutions to the cloud.
Estimated time: 4 months, At 10 hrs/week
5. Predictive Analytics for Business
Learn to apply predictive analytics and business intelligence to solve real-world business problems.
Estimated Time: 3 months, At 10 hrs/week
Prerequisites: Algebra, Descriptive Statistics, and Excel. You should be familiar with basic data analysis skills including descriptive and inferential statistics, and basic algebra.
6. Introduction to Machine Learning
Learn foundational machine learning algorithms, starting with data cleaning and supervised models. Then, move on to exploring deep and unsupervised learning. At each step, get practical experience by applying your skills to code exercises and projects.
This program is intended for students with experience in Python, who have not yet studied Machine Learning topics.
Estimated Time: 3 months for each program, At 10 hrs/week
7. Introduction to Marketing Analytics
In this program, you’ll learn foundational data skills, gain an in-depth understanding of Google Analytics and marketing analytics. You’ll learn to analyze data and build models with Excel, Data Studio, and create informative data visualizations with Tableau.
Estimated Time: 3 Months At 5 hrs/week
8. Artificial Intelligence – Learn Foundational AI Algorithms
Learn to write programs using the foundational AI algorithms powering everything from NASA’s Mars Rover to DeepMind’s AlphaGo Zero. You’ll master Beam Search and Random Hill Climbing, Bayes Networks and Hidden Markov Models, and more.
Estimated Time: 3 Months At 12-15 hrs/week
9. Introduction to Programming
Learn the basics of programming through HTML, CSS, and Python. Explore possible programming paths with our final project selection. Get confident in your ability to think and problem-solve like a programmer. Be primed and ready for our career-ready programs after mastering these projects.
Estimated Time: 4 Months At 10 hrs/week
10. Become a Digital Marketer
Learn to create marketing content, use social media to amplify your message, make content discoverable in search, run Ads campaigns and advertise on Facebook. Additionally, learn how display and video ads work and how to market with email, and measure and optimize with Google Analytics.
Estimated Time: 3 Months, At 10 hrs/week
Prerequisites: No Experience Required
Conclusion
As analytics as a discipline becomes more demanding across domains. The business analyst career can be an excellent career opportunity for those individuals who have an idea of evaluating and analyzing data, developing solutions. There is a great career opportunity for business analysts in India. Business analyst professionals are required everywhere, from leading financial institutions to consultancies like KPMG, Deloitte, E&Y, PWC, Walmart and online leader Amazon. Business Analysts have lots of alternatives to progress in their future career path, as there are excellent career opportunities available throughout the world.
