Certificate Course in
Data Science for Managers
- 48 Hours Classroom & Online Sessions
- 80 Hours Assignments & Real-Time Projects
- Complimentary Python and R Programming Beginners Course
2335 Learners
Academic Partners & International Accreditations
"In the USA, the national average salary for a Data Scientist is $114,309 per annum as they emerge as a new breed of experts for analytical data." (Source - Glassdoor). Data Science is tremendously evolving with its broad aspects and is being integrated as part of many major projects and businesses, as the decisions are taken up based on the results of data analysis. But the Data Science industry is experiencing a lack of professional Data Scientists and Managers with knowledge of Analytical skills and Data Science. Managers with data analytical skills and capabilities can play a major role in making data-driven decisions along with the team of Data Scientists. The demand for Data Scientists is estimated to shoot by 27% by 2020 as per the resorts of IBM. Another report predicts that Data Science roles will emerge and expand that will include Machine Learning (ML) and Big data technology skills, as IoT and Cloud Computing technologies are being rapidly adopted across the globe.
Data Science for Managers
Total Duration
1 Months
Prerequisites
- Computer Skills
- Basic Math Knowledge
- Data Science Concepts
Data Science for Managers Program Overview
Commencing with a transformative 48-hour Data Science program, tailored for both students and professionals from diverse backgrounds, this course opens doors to the dynamic field of Data Science. From the outset, participants dive into foundational concepts crucial for mastering data analysis and interpretation.
The journey begins with an exploration of Statistical Analysis, providing essential skills to uncover meaningful patterns and insights from data. Building on this foundation, the program progresses to Regression Analysis, equipping learners with the tools to predict outcomes and understand relationships between variables.
Participants then delve into Data Mining techniques, learning to extract valuable information from vast datasets, and explore Unsupervised Learning methods to uncover hidden patterns without predefined labels. The curriculum also covers advanced topics such as Machine Learning for data- driven decision-making and forecasting to predict future trends.
Throughout the program, hands-on experience using industry-standard tools like Python and R enhances practical skills and ensures participants can apply their knowledge effectively. By program completion, attendees gain a solid understanding of essential data Science techniques, preparing them for success in the competitive landscape of Data Science.
Data Science for Managers Learning Outcomes
360DigiTMG offers a Data Science for the Managers training program in the USA for aspiring students and professionals. The objective of this training program is to deliver valuable insights and update students/ professionals with emerging techniques in the most popular field of Data Science. The concepts of the course are explained with real industry cases. Students will have the opportunity to work on real-time projects and gain insights to handle any kind of risk. This course with the latest world-class curriculum will help professionals to enhance their talent and gain lucrative jobs.
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Who Should Sign Up?
- Internal Auditors
- CFO/Director/Head of Accounting
- Business Analysts
- Data Analysts
- Banking and Accounting Analysts
- Certified Financial Analysts
- Credit Analysts
- Financial Advisors
- Math, Science and Commerce Graduates
- IT Security officials, IT Admin (Network, Firewall, System Admin), IT professionals
- Mid-level Executives
- Information Security
- Information Law
Data Science for Managers Modules
Data Science for Managers course in USA is provided by 360DigiTMG. This course is delivered and designed meticulously by industry stalwarts. The course modules help to craft the career of aspiring professionals/ students. This 48 hours training program is best suitable for the aspirants or working professionals who want to upgrade their career and hone their technical skills. In this data-driven world, to be a pioneer one has to constantly update in the latest technologies. The modules of the Data Science for Managers introduces the steps involved in the Data Science Life Cycle. Students will be introduced to the most important programming tools of Data Science Python and R and its applications. Learn the concepts of Data Mining, Data Visualization, Supervised and unsupervised learning and Data Manipulation. Understand the deeper concepts of Machine Learning which include decision trees, SVM and Random forest. Aspirants will learn Hypothesis testing, regression (Linear Regression) and forecasting techniques. Will be exposed to the applications of technological tools to analyze large samples of data, where traditional tools cannot handle. This is the area where data analytical solutions play a vital role. Big data analytics not only analyses large amounts of data but also has the ability to work with structured and unstructured data. Students will be given the opportunity to work on real-time projects and get acquainted with the latest technologies. This course will help students to gain jobs in giant companies and excel in their careers.
- Data Science Life Cycle
- Python and R Introduction and Installation
- Data Input/Output
- Machine Learning Primer
- Data Manipulation
- Data Visualization
- Introduction to Data Mining
- Linear Regression
- Decision Trees
- Support Vector Machine
- Random Forest
- Association Rules
Tools Covered
Data Science for Managers Trends in USA
Numerous enterprises will demand much from their Data Scientists and these specialists will be called the ultimate solutions for their business issues. Another important thing to be noted is that the demand for Data Science roles that include Data Engineers, Data Analysts, and others is going to tremendously increase in the coming years. The emerging trend in the field of Data Science is Automation. It is predicted that Automation may replace human jobs with robotics, virtual agents, Chatbots, etc. But it has to be noted that automation in the hands of untrained persons can lead to potential hazards, so a professional Data Scientist who has knowledge on all the technicalities is a must to work in the ecosystem. The other trend is the Evolution of Big Data across the world. Big Data Analytics propelled and continues to prevail. Big data along with Machine Learning and Artificial Intelligence algorithms are used to analyze the mainstream of Data by Data Engineers and Data Analysts.
This technology will be incorporated further, as Data Scientists will be able to create their own ready to use data pipelines with various data sources. This will enhance and experience more innovations in Big Data Analytics. The other emerging trends that would impact business in the coming years would be Augmented Analytics. Most of the business will be interested in adopting augmented analytics to gain a competitive edge. Cloud computing, IoT connected devices are the important drivers of augmented analytics. Business enterprises choose augmented analytics over traditional analytics to minimize human errors. Next is Continuous Intelligence, more than 50% of business solutions will integrate Continuous Intelligence which depends on real-time data to make data-driven decisions. NLP and Conversational analytics along with Augmented Analytics will largely impact the current business operations.
How We Prepare You
- Additional Assignments of over 80 hours
- Live Free Webinars
- Resume and LinkedIn Review Sessions
- 3 Month Access to LMS
- 24/7 support
- Job Assistance in Data Science Fields
- Complimentary Courses
- Unlimited Mock Interview and Quiz Session
- Hands-on Experience in a Live Project
- Life Time Free access to Industry Webinars
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Certificate
Get noticed for your domain-specific analytics skills with the Data Science for Managers Certification Program. Show your commitment to match skills to future industry needs.
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Alumni Speak
"The training was organised properly, and our instructor was extremely conceptually sound. I enjoyed the interview preparation, and 360DigiTMG is to credit for my successful placement.”
Pavan Satya
Senior Software Engineer
"Although data sciences is a complex field, the course made it seem quite straightforward to me. This course's readings and tests were fantastic. This teacher was really beneficial. This university offers a wealth of information."
Chetan Reddy
Data Scientist
"The course's material and infrastructure are reliable. The majority of the time, they keep an eye on us. They actually assisted me in getting a job. I appreciated their help with placement. Excellent institution.”
Santosh Kumar
Business Intelligence Analyst
"Numerous advantages of the course. Thank you especially to my mentors. It feels wonderful to finally get to work.”
Kadar Nagole
Data Scientist
"Excellent team and a good atmosphere. They truly did lead the way for me right away. My mentors are wonderful. The training materials are top-notch.”
Gowtham R
Data Engineer
"The instructors improved the sessions' interactivity and communicated well. The course has been fantastic.”
Wan Muhamad Taufik
Associate Data Scientist
"The instructors went above and beyond to allay our fears. They assigned us an enormous amount of work, including one very difficult live project. great location for studying.”
Venu Panjarla
AVP Technology
Our Alumni Work At
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FAQs
If you miss a class, we will arrange for a recording of the session. You can then access it through the online Learning Management System.
Each classroom session is recorded on video and stored in our Learning Management System AISPRY. You will be assigned a dedicated login to AISPRY. You can access the video sessions from AISPRY.
After you have completed the classroom sessions, you will receive assignments through the online Learning Management System that you can access at your convenience. You will need to complete the assignments in order to obtain your data scientist certificate.
We assign mentors to each student in this program. Additionally, during the mentorship session, if the mentor feels that you require additional assistance, you may be referred to another mentor or trainer.
This Certificate is valid lifelong. 360DigiTMG has a pay once repeat many times offer on this course. You pay once for the course and can repeat it many times in the future for free. This helps you adapt to technological changes and software updates in the course of your career.
Jobs in the field of Analytics
The HR department has to act like the bridge between the employer and the employee. One can work for various management positions in an organization like HR manager, Director of HR Training and Development, HR Generalist, Employee Relations Manager, Technical Recruiter, etc.
Salaries for Analytics Experts
An HR analyst may have to wear many hats in an organization wherein he may be responsible to collect data, aggregate data, analyze data, and process data to deliver valuable insights. The average salary of an HR analyst is 4,25,000 lakhs per annum in India.
Analytics Course Projects
The best way to build your knowledge is to work on live projects. There are various projects that one could venture into like Talent acquisition, employee career development, cybersecurity, retention, and compliance or studying the reason for the increased attrition rate in the company.
Role of Open Source Tools in Analytics
Programmers prefer open source tools because it helps them modify or improve upon the code. Many organizations have adopted tools of Analytics in a big way as they help them to analyze and visualize massive sets of Data. In this program, you will be exploring tools like R, RStudio, and Python.
Modes of Training for Analytics Course
The course in India is designed to suit the needs of students as well as working professionals. We at 360DigiTMG give our students the option of both classroom and online learning. We also support e-learning as part of our curriculum.
Industry Application of Analytics Course
Analytics plays an integral role in making data-driven decisions and boosting ROI. Its applications are used in various fields of statistics, analysis, and employee-related factors like retention, workforce planning, employee development, engagement, and performance.
Companies That Trust Us
360DigiTMG offers customised corporate training programmes that suit the industry-specific needs of each company. Engage with us to design continuous learning programmes and skill development roadmaps for your employees. Together, let’s create a future-ready workforce that will enhance the competitiveness of your business.
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