Data Analyst Course in Washington, D.C.

As per the Forrester wave report, in September 2018, IBM is the second-largest Machine Learning and Predictive Analytics solutions provider globally. This Data Analyst course in Washington is designed to equip students with their skills to become successful analysts and problem solvers.

IBM is one of the world's leading cloud platform companies, which has its headquarters in Armonk, Washington. IBM beings technology and consulting services leadership, and is the recipient of five Nobel Prizes, six Turing Awards, nine U.S. National Medals of Technology, five U.S. National medals of Science, and has 10 inductions into the U.S. Inventors Hall of Fame.

What to expect from this data analyst course developed in collaboration with IBM?

Certificates from IBM and Simplilearn will be awarded to students after completing this Data Analyst course in Washington. The certificates will give evidence of your skills as a master of data analysis. Other things that you will get includes:

• 24/7 accessibility to IBM cloud platforms that features IBM Watson and other software
• Simplilearn's Data Analysis Master’s certificate with industry recognition

What can I expect from this Simplilearn's Data Analyst program developed in collaboration with IBM?

Once you complete your Data Analyst course in Washington, you’ll be given a course completion certificate from IBM and Simplilearn. Simplilearn's Data Analyst course in Washington certificate shows you completed your data analyst training and it will put you on the fast track to success. You will also have these things with you if you complete the course –

1. Access to IBM cloud platforms that feature IBM Watson and other software.
2. Industry recognized Data Analyst Master’s certificate from Simplilearn.
3. USD 1200 worth of IBM cloud credits that you can use for hands-on exposure.

This data analyst course in collaboration with IBM will assist you in developing your learning and skills in the analytics field. Hypothesis testing, data blending, data extracts, forecasting, and descriptive and inferential statistics are all included in this Data Analyst course in Washington.

If you have a basic understanding of mathematical concepts, you can easily become an expert in Data analytics with the help of this course.

This Data Analyst course in Washington trains students on the implementation of algorithms and statistical inference design for large-scale data processing and areas such as machine learning and natural language processing. You will also:

• Have a strong command over SQL concepts such as universal query tools.
• Have an understanding of essential statistical concepts such as dispersion, regression, correlation, and measures of central tendency.
• Learn to read and write files, save data, load files, etc., in Python.
• Learn about statistical inference and modeling with R.
• Have in-depth knowledge of several data visualization libraries in Python, including Folium, Seaborn, and Matplotlib.
• Gain an understanding of DBSCAN, K-means, and hierarchical clustering.
• Learn business analytics via Excel.
• Become an expert in Tableau statistics.
• Master visualization techniques, namely market basket analysis, treemap, waterfall, heat map, and Gantt chart.

This Data Analyst course in Washington will use current real-life, industry-based events, projects, and case studies. Projects are:

Inspect how big companies like Flipkart and Amazon make use of business intelligence tools to perform category analysis.
Title- category performance analysis
Description- In this performance evaluation program, best-performing subcategories are awarded to those that yielded a consistent profit for the last four years.
 
Have an understanding of how NSE, BSE, and NASDAQ leverage data analysis and analytics to arrive at consumable data from complex data sets.
Title- stock market
Description- Through working on this project, you will be able to import data via Yahoo data reader for companies, including Microsoft, Apple, Amazon, Google and Yahoo. You will also learn to perform daily return analysis, using a plot to show the correlation between stocks and plotting stock trade by volume. 
 
Learn about the usage of data analysis by banks, namely Citigroup, Bank of America, HDFC, and ICICI.
Domain- Banking
Description- In this project, you will learn about analyzing the data collected from the marketing campaign run by a Portuguese banking institution. A marketing campaign was launched by the Portuguese bank to convince potential customers into putting funds into the bank term deposit. You need to analyse the entire campaign and the data collected from it.
 
See how healthcare industry leaders use data analysis to leverage their business.
Domain- Healthcare
Description- In this project, you will learn predictive analytics and judge the efficiency of forecasting a trend. Historical and real-time data can be compared to judge the efficiency and value of the data. The predictor and the intervention are integrated back into the same system. 
 
Find out how market leaders such as Walmart, Target, and Amazon are using data analysis to evaluate product placement and inventory decisions.
Domain- Retail
Description- In this project, you will learn about product and inventory optimization from the shelves to the warehouse. Participants will tend to learn the daily cycle of product optimisation from the shells to the warehouses. This will help in giving them regular insights into the occurrences that occur in the real estate sector.
 
Using data analysis, learning how Berkshire Hathaway, AIG, and AXA (insurance leaders) work on real-life insurance-based projects.
Domain- Insurance
Description- Predictive analytics has helped to increase the insurance businesses. It has helped to increase the efficiency of the businesses. According to the 2013 Insurance Predictive Modeling Survey, there has been an increase in predictive modelling throughout the industry, all people from companies that write over $1 billion in personal insurance employ predictive modelling if compared to 69% of companies with less than that amount of premium.

Aspiring professionals of any educational background with an analytical frame of mind are best suited to pursue the Data Analyst course Washington, 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

To be successful in the Data Analyst course in Washington and its certification training, students should have good basic math skills.

Becoming a data analyst has many benefits. The World Economic Forum has also predicted that data analysts will be one of the leading jobs by 2022. It is commonly accepted today that data is abundant, and every bit of it can improve a business or a nation. 2.5 quintillion bytes of data are created every single day. All these facts altogether provide evidence of ever-increasing job and career advancement opportunities in the analytical field.

An IBM report forecasts that data and analytics jobs will rise to 15% to 2.72 million jobs by 2020. Finance, insurance, and information technology are the fields that will have the most significant demand for data analysts. Glassdoor sales that a data analyst bagged an average pay of $67377 in 2019.

The Data Analyst course in Washington will give professionals all the tools needed to obtain a lucrative job as a data analyst. Various job titles are:

• Analytics Manager or lead
• Data Analyst
• Business Intelligence Analyst
• Business Intelligence Engineer 
• Business Analyst/Senior Business Analyst
• Various managerial roles