Data Science & BA (Duration : 8 Weeks)
NearLearn’s Comprehensive Data Science and Business Analyst Solutions
Here at Nearlearn, we equip individual with the data science and business analytics knowledge and expertise they need to succeed. The scope of our services includes:
Training in Data Science:
Data collecting, data cleaning, data analysis, and machine learning are just some of the data science techniques that our comprehensive training packages can help your staff grasp.
Business Analyst Training:
Our comprehensive business analyst training programs will help you develop the analytical and problem-solving abilities you need to turn raw data into useful insights.
Customized Corporate Training:
Tailor our training programs to connect smoothly with your specific business objectives and industry issues, ensuring a tailored and powerful learning experience.
Expert Consulting Services:
If you need strategic advice, data-driven solutions, or help optimizing business operations, our data science and business analytics professionals are here to help.
Why Choose Nearlearn for Data Science and Business Analyst Solutions?
Industry-Leading Curriculum:
The newest developments in data science and business analytics are incorporated into our curriculum as it is built and refined by professionals in the field.
Experienced Instructors:
Professionals with extensive knowledge of data science and business analytics teach our courses and provide students with one-on-one mentorship and instruction.
Flexible Learning Options:
To accommodate a wide range of student needs and interests, we provide a selection of learning formats, including traditional classroom instruction, online instruction, blended learning, and self-paced e-learning.
Case Studies and Real-World Projects:
Include projects and case studies from the real world in your education so that you may put what you learn into practice.
Career Support Services:
To help you get started in a rewarding career in data science or business analytics, we provide a variety of career support services, such as aid with crafting a CV and portfolio, practicing for interviews, and finding a job.
Is Data Science and business analytics certification something you should look into?
Data Science with Business analytics certification can be a lucrative and fulfilling career choice. Many industries are hiring in data science and business analytics, which are rising significantly.
You should consider being certified in Data Science with Business analytics for the following reasons:
High Demand:
Expert data scientists and business analysts are in high demand, and their salaries are projected to rise rapidly in the future years. IT jobs are expected to rise 11% from 2020 to 2030, faster than the average for all occupations, according to the BLS.
Data scientists and business analysts earn attractive wages. A 2022 Glassdoor analysis found that data scientists earn $115,931 and business analysts $103,626.
Different Professions Available:
Business analysts and data scientists find employment in many sectors, from healthcare to banking to retail to technology and beyond. You can tailor your profession to your own interests and abilities in this way.
Challenge and Reward:
Data science and business analytics are two of the most exciting and promising professions of the future. You’ll get to put your knowledge to use in the real world and make a difference for actual companies and groups.
Who Should Enroll for Our Data Science Course?
Data science is interdisciplinary and requires many skills and expertise. Who should take a data science course? There is no single solution. There are certain general traits that make an excellent data science student.
Candidates for data science courses should:
Data science is quantitative, therefore a solid foundation in math, statistics, and probability is essential.
Programming skills:
Data scientists must program to acquire, clean, and analyze data. Data science can be done in various languages, but Python is popular.
Ability to solve problems:
Data scientists must identify and address issues. They must think critically and be innovative.
Communication skills:
Data scientists must communicate their findings. They must write simply and concisely and clarify complex subjects effectively.
Recent college graduates:
Since data science is new, many recent college grads want to work in it. They can learn data science skills to start their career.
Career Changers
Many people want to switch jobs to data science because it’s expanding. They can develop career transition skills in a data science course.
Professionals seeking advancement:
Many professionals desire to understand data science because it’s becoming more significant in many industries. They can stay competitive with a data science course.
Course Schedule
Sample Certificates
IABAC Certificate
Course Video
Programming Languages & Tools Covered
Why NearLearn?
Experience Elevated
Learning
Expert Guidance,
Industry Insights
Tailored Learning Paths
Career Development Support
Flexible Learning Options
Industry-Aligned Certifications
Community Engagement
Unparalleled Support
Empower Yourself
With NearLearn
Partner with NearLearn to Transform Your Workforce
Putting money into professional growth is like putting money into the future of your company. When it comes to corporate training, Nearlearn is your reliable partner. We offer the knowledge and resources you require to empower your workers, propel innovation, and achieve long-term success in your business.
Get in touch with us right away to discuss the ways in which the training solutions offered by Nearlearn can revolutionize your career.
Testimonials
Manasa HG
Juniper Networks
“Nearlearn is one of the best institutes for Data science and Machine learning training in Bangalore. Training sessions were very interactive. Trainer has very good subject knowledge,I am very satisfied with both Trainer & Institute.”
Tushar Chorghe
GeBBS Healthcare Solutions
“I would rate services provided by NearLearn as excellent because of the instructor and venue with the required discount for the course. The overall experience was very good and will surely look forward to attend many more trainings”
Overview
- Be the first student
- Language: English
- Duration: 8 weeks
- Skill level: Any level
- Lectures: 0
- 3 Downloadable Resources
- 8 Сoding Exercises
- Certificate of Completion
Data collection, cleaning, and analysis using computer languages like Python and R will be covered.
Knowledge of statistics:
You'll gain familiarity with several statistical methods like hypothesis testing, data visualization, and regression analysis.
Competence in machine learning:
Supervised learning, unsupervised learning, and reinforcement learning are just some of the machine learning methods you'll study.
Management abilities:
You will get the knowledge and skills necessary to apply data science and business analytics to real-world business issues.
Technology:
To create and launch data-driven goods and services, organizations require data scientists and business analysts. Many sectors have a significant need for data scientists and business analysts. Technology: To create and launch data-driven goods and services, organizations require data scientists and business analysts. Healthcare: Improving healthcare results through data analysis requires data scientists and business analysts. Finance: Investment decisions can be made with the help of data scientists and business analysts who examine financial data. Retail: In order to examine customer data and fine-tune marketing efforts, businesses and organizations need data scientists and business analysts. Many sectors have a significant need for data scientists and business analysts. Technology: To create and launch data-driven goods and services, organizations require data scientists and business analysts. Healthcare: Improving healthcare results through data analysis requires data scientists and business analysts. Finance: Investment decisions can be made with the help of data scientists and business analysts who examine financial data. Retail: In order to examine customer data and fine-tune marketing efforts, businesses and organizations need data scientists and business analysts. Healthcare:
Improving healthcare results through data analysis requires data scientists and business analysts. Many sectors have a significant need for data scientists and business analysts. Technology: To create and launch data-driven goods and services, organizations require data scientists and business analysts. Healthcare: Improving healthcare results through data analysis requires data scientists and business analysts. Finance: Investment decisions can be made with the help of data scientists and business analysts who examine financial data. Retail: In order to examine customer data and fine-tune marketing efforts, businesses and organizations need data scientists and business analysts. Many sectors have a significant need for data scientists and business analysts. Technology: To create and launch data-driven goods and services, organizations require data scientists and business analysts. Healthcare: Improving healthcare results through data analysis requires data scientists and business analysts. Finance: Investment decisions can be made with the help of data scientists and business analysts who examine financial data. Retail: In order to examine customer data and fine-tune marketing efforts, businesses and organizations need data scientists and business analysts.
Finance:
Investment decisions can be made with the help of data scientists and business analysts who examine financial data.
Retail:
In order to examine customer data and fine-tune marketing efforts, businesses and organizations need data scientists and business analysts.
