Data Analyst Master’s program, Tableu, Power BI, Python, Data Analyst Capstone
Fortray Global Services LTD
Earn up-to 65K OR Your Money Back
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Overview
Description
What can I expect from this Fortray Data Analyst program developed in collaboration with IBM?
Upon completion of this Data Analyst Master's program, you will receive certificates from IBM(for IBM courses) and Fortray for the courses in the learning path. These certificates will testify to your skills as an expert in Data Analyst. You will also receive the following:
Access to IBM Cloud Lite Account
Industry-recognized Data Analyst Master's certificate from Fortray.
What are the learning objectives?
Fortray Data Analyst Master's program developed in collaboration with IBM will provide you with extensive expertise in the booming data analytics field. This Data Analyst certification training course will teach you how to master descriptive and inferential statistics, hypothesis testing, regression analysis, data blending, data extracts, and forecasting. Through this course, you will also gain expertise in data visualization techniques using Tableau and Power BI, learning how to organize data and design dashboards.
In this Data Analyst certification online course, a special emphasis is placed on those currently employed in the non-technical workforce. Through this course, those with a basic understanding of mathematical concepts will be able to complete the course and become an expert in data analytics.
This learning experience melds the knowledge of Data Analytics with hands-on demos and projects via CloudLab. Upon completing this course, you will have all the skills required to become a successful Data Analyst.
Why become a Data Analyst?
By 2020, the World Economic Forum forecasts that data analysts will be in demand due to increasing data collection and usage. Organizations view data analysis as one of the most crucial future specialties due to the value that can be derived from data. Data is more abundant and accessible than ever in today’s business environment. In fact, 2.5 quintillion bytes of data are created each day. With an ever-increasing skill gap in data analytics, the value of Data Analysers is continuing to grow, creating a new job, and career advancement opportunities.
The facts are that professionals who enter the Data Science field will have their pick of jobs and enjoy lucrative salaries. According to an IBM report, data and analytics jobs are predicted to increase by 15 percent to 2.72 million jobs by 2020, with the most significant demand for data analysts in finance, insurance, and information technology. Data analysts earn an average pay of $67,377 in 2019 according to Glassdoor.
What Data Analysis skills will you learn in this course?
The learning path in this Data Analyst Master's program is specifically designed to give you the tools you need to be successful in Data Science and help you obtain a competitive edge. By the end of this Data Analyst certification training, you will:
Understand essential statistical concepts including measures of central tendency, dispersion, correlation, and regression
Master SQL concepts such as Universal Query Tool and SQL command
Write your first Python program by implementing concepts of variables, strings, functions, loops, and conditions
Understand the nuances of lists, sets, dictionaries, conditions and branching, objects and classes in Python
Work with data in Python, including reading and writing files, loading, working, and saving data with Pandas
Learn how to interpret data in Python using multi-dimensional arrays in NumPy, manipulate DataFrames in pandas, use SciPy library of mathematical routines, and execute machine learning using Scikit-Learn
Perform data analytics using popular Python libraries
Gain insights on several data visualization libraries in Python; including Matplotlib, Seaborn, and Folium
Gain an in-depth understanding of the basics of R, learning how to write your own R scripts
Master R programming and understand how various statements are executed in R
Understand and use linear and non-linear regression models and classification techniques for data analysis
Learn and use clustering methods including K-means, DBSCAN, and hierarchical clustering
Gain a foundational understanding of business analytics using Excel
Get introduced to the latest Microsoft analytics and visualization tools (Power BI)
Grasp the concepts of Tableau Desktop 10, become proficient with Tableau statistics and build interactive dashboards
Become an expert on visualization techniques such as heat map, tree map, waterfall, Pareto, Gantt chart, and market basket analysis
Description: The use of predictive analytics has increased greatly in insurance businesses, especially for the biggest companies, according to the 2013 Insurance Predictive Modeling Survey. While the survey showed an increase in predictive modeling throughout the industry, all respondents from companies that write over $1 billion in personal insurance employ predictive modeling, compared to 69% of companies with less than that amount of premium.
Who is this course for?
Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst course, including:
- IT professionals
- Banking and finance professionals
- Marketing managers
- Sales professionals
- Supply chain network managers
- Beginners in the data analytics domain
- Students in UG/ PG programs
Requirements
Data analytics is one of the major areas to explore in this digitalized world. To learn data analytics, you need to have an in-depth understanding of SQL, Python or R programming, data visualization techniques, statistics, regression, and more. While you can get started on your own, it is recommended to take data analyst course and learn data analytics from industry experts. You’ll get up-to-date knowledge of the field and know about the strategies and best practices that are actually followed by companies.
Career path
Upon completing the Data Analyst certification course, you will have the data analysis skills necessary to win your dream job. Apart from Data Analyst, other jobs titles include:
- Analytics Manager/Lead
- Business Analyst/Senior Business Analyst
- Business Intelligence Analyst
- Business Intelligence Engineer
- Various managerial roles
Questions and answers
While trying to understand this course, I have found everywhere it's stated by 2020, but this is 2025. The content seems to be old and not updated.
Answer:Hey sorry to hear that but all the course content are up to to dated
This was helpful.what is data analyst ?
Answer:Data analysis is a process of inspecting, cleaning, transforming and modeling data to discover useful information and support decision making to achieve business goals. There are various data analysis qualitative and quantitative methods and analytical or statistical tools used to extract the useful information and translate them into insights to make better business decisions,most of which are covered in this program.
This was helpful.
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