Certificate Course in
Data Science for Managers
- 48 Hours Classroom & Online Sessions
- 80 Hours Assignments & Real-Time Projects
- IBM Digital Certificates and Badges
- Complimentary Python and R Programming Beginners Course
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
- Computer Skills
- Basic Math Knowledge
- Data Science Concepts
Data Science for Managers Program Overview
This program is for 48 hours and focuses on the MUST KNOW concepts of Data Analytics for students as well as professionals from other domains to embark into the world's #1 profession - Data Sciencee. This training is focused on providing knowledge on all the key techniques such as Statistical Analysis, Regression Analysis, Data Mining, Unsupervised learning techniques, Machine Learning, Forecasting, Text Mining and many more. These techniques will be explained using the best data science tools in the industry - Python and R.
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.
Block Your Time
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
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
Job Assistance in Data Science Fields
Unlimited Mock Interview and Quiz Session
Hands-on Experience in a Live Project
Life Time Free access to Industry Webinars
Call us Today!