Advanced Excel Training

Best Advanced Excel Training with 7 Job Prospects

Many people are using Microsoft Excel to get their tasks done. There is a great demand of professionals who are experts in using Excel and know all the tricks and shortcuts in a fluent manner. But this advance excel training will ensure that you “excel” in Microsoft Excel at the completion of the course.

Microsoft Excel is assisting in evaluation and presentation of data in a graphical form. Many users and professionals all over the world need the Advanced Excel Training to maintain records in a systematic manner

Managers, business owners, scientists and so on are using Microsoft Excel to control and evaluate data. Better data visualization and comprehension of data assist to make better business decisions. When you learn Microsoft Advanced Excel Training from Sofltogic you will become an Excel expert.

Objectives of the Advanced Excel Training

Vlookup Function, Hlookup, Grouping, Validation Rules, Sum, Count, Pivot Table, Formulas, Pivot Chart etc, are some of the concepts that you will be imparted through this training. You will be able to get a clear idea of an otherwise complex database.

The main aim of Advanced Excel Training is to make Microsoft Excel understandable to you and make the task simpler for you to perform applying Microsoft Excel advanced techniques.

You can take your basic Excel skills to the next level with the advanced Excel training by gaining sound grasp of all the features which will always keep you in pace with the latest technology.

Who is Eligible to attend the Advanced Excel Training?

The Advanced Excel training is framed for professionals who are already acquainted with the fundamentals of Microsoft Excel and who wish to operate with more advanced features of Microsoft Excel. They will become efficient in working with worksheets, evaluating data, forming MIS reports and automating several tasks.

  • Anyone wishing to enter into the domain of data analysis and wishes to work in a more competent manner need the Advanced Excel Training
  • Students who want to have a great job and hence learn the advanced features of Excel. For example, MBA and Engineering students can gain from this course.
  • Any businessperson who is inclined to maintain his/her business record in an efficient manner and keep track of the business progress in a timely manner.
  • MIS Reporting Executives
  • Financial professionals & Auditors
  • Admin & HR Executives
  • Top Management & Team Heads
  • Sales & Marketing Professionals

Advance Excel Training Job Prospects

Nobody can denying that Microsoft Excel is an evergreen tool. Even now, several jobs need Advanced Excel skills. The industry requires professionals who can assess the data and aid in the decision making for the management. There is a great demand for the MIS operations that handles the evaluation of data.

Gaining MS Excel skills will pave the way for MIS roles, data analysis roles, business analysis role, etc. Anybody that undergo the Advanced Excel Training can do budgeting and financial modelling in an efficient manner, Let’s see some of the in-demand profiles in this field”

Data Analyst

This is someone who scrutinises information using data analysis tools. The meaningful results they pull from the raw data help their employers or clients make important decisions by identifying various facts and trends.

Typical duties include:

  • Using advanced computerised models to extract the data needed
  • Removing corrupted data
  • Performing an initial analysis to assess the quality of the data
  • Performing further analysis to determine the meaning of the data
  • Performing final analysis to provide additional data screening
  • Preparing reports based on analysis and presenting to management

Data Analyst Typical Employers

  • Banking Industry
  • Specialist software development companies
  • Consultancies
  • Telecommunications companies
  • Public sector organisations
  • Social media specialists
  • Colleges and universities
  • Pharmaceutical companies
  • Manufacturers

Management Information System Executives

They lead all information technology operations within a company. They are responsible for planning, designing, developing, and evaluating computer systems. MIS Executives have various duties depending on the type and size of the organization they work for.

The Management Information System Executive’s responsibilities include designing and developing computer systems on time and to specifications, developing strategies, keeping up-to-date with the latest developments in IT systems, analyzing operations and making suggestions for improvement.

Responsibilities of Management Information System Executives

  • Designing, monitoring, analyzing and troubleshooting IT systems.
  • Interpreting briefs and developing IT systems that meet all specifications and cost requirements.
  • Assisting with training and onboarding processes.
  • Writing job descriptions for new positions, and assisting with interview and recruitment processes.
  • Ensuring staff comply with company, as well as health and safety regulations at all times.
  • Maintaining, managing, and updating software.
  • Supervising digital security and ensuring all anti-viruses and firewalls are regularly updated.
  • Supervising the development and maintenance of websites and ensuring the protection of users’ data.
  • Analyzing existing operations, protocols, and processes, and making plans for improvement.
  • Conducting research, attending workshops, and networking with other professionals in the industry.

Big Data Analytics Architect

They recognize that deriving value from data is no longer a choice, but a business imperative in the emerging digital economy. And in many organizations, the analytics architect is turning out to be a key player in helping to extract insight from that data.

The evolution of using data to help deliver business insights and value has gone through a number of phases.2 The first phase focused on using data for reporting. The second phase began with the rise of big data.

The commodity-driven MapReduce framework and its open-source equivalent, Apache Hadoop, provided the blueprint for this phase. The third phase that is now emerging is characterized by significant innovations in technology, such as data discovery; interactive visualizations; and in-memory, predictive, and prescriptive analytics.

Key responsibilities of the data analytics architect include

  • Operationalizing analytics
  • Mapping requirements to implementation
  • Selecting technology
  • Evaluating nonfunctional attributes

In helping to ensure a successful big data analytics implementation program, organizations should cultivate analytics architects from their existing talent pools of solution architects with analytics skills, or data scientists with engineering and technical skills. Conversely, practitioners in the architecture profession should develop analytic skills to fill the demand for this vital role. Learn more

Big Data Solution Architect

They aim to address specific big data problems and requirements. Big data solutions architects are trained to describe the structure and behaviour of a big data solution and how that big data solution can be delivered using big data technology such as Hadoop. He or she needs to have hands-on experience with Hadoop applications (e.g. administration, configuration management, monitoring, debugging, and performance tuning).

Big Data Solutions Architect is required in any organisation that wants to build a big data environment on-premises or in the cloud. They are the link between the needs of the organization and the big data scientists and the big data engineers.

The big data solutions architect is responsible for managing the full life-cycle of a Hadoop solution. This includes creating the requirements analysis, the platform selection, design of the technical architecture, design of the application design and development, testing, and deployment of the proposed solution.

A big data solutions architect needs to have a firm understanding of major programming/scripting languages like Java, Linux, PHP, Ruby, Phyton and/or R. As well as have experience in working with ETL tools such as Informatica, Talend and/or Pentaho.

He or she should have experience in designing solutions for multiple large data warehouses with a good understanding of cluster and parallel architecture as well as high-scale or distributed RDBMS and/or knowledge on NoSQL platforms.

The role of a big data solutions architect is a very technical one

  • To be able to benchmark systems, analyse system bottlenecks and propose solutions to eliminate them;
  • To be able to clearly articulate the pros and cons of various technologies and platforms;
  • To be able to document use cases, solutions and recommendations;
  • To have excellent written and verbal communication skills;
  • To be able to explain the work in plain language;
  • To be able to help program and project managers in the design, planning and governance of implementing projects of any kind;
  • To be able to perform a detailed analysis of business problems and technical environments and use this in designing the solution;
  • To be able to work creatively and analytically in a problem-solving environment;
  • To be a self-starter;
  • To be able to work in teams, as a big data environment is developed in a team of employees with different disciplines;
  • To be able to work in a fast-paced agile development environment. Read more

Financial Analyst

This position is imperative for the financial planning and analysis department of a business. They are responsible for analyzing financial statements and predicting the future performance of the company. This may include forecasting future revenues and expenditures, as well as modelling capital structure and budgeting.

Financial analysts are responsible for keeping track of a company’s financial plan. Analyzing the company’s performance, alongside changes and market trends, not only helps the analyst create forecasts, but also allows them to calculate variances between those forecasts and actuals. It is the analysts’ job to track down and explain the causes of these variances.

Financial Analysts Major Roles

Play a role in determining a company’s present value and future business abilities. The duties of the financial analyst revolve around analyzing financial information to come up with forecasts for a business and help it make informed, and hopefully correct, decisions.

Analysts often create and maintain various spreadsheets and dashboards to aid in their analysis and insight provision. This helps provide a clear interpretation of trends and data. Some analysts are also tasked with creating models to value potential investment opportunities, similar to the role of an equity research associate.

In-house financial analysts may meet with various project managers to discuss performance. It may be the duty of an analyst to interview these managers to ascertain the causes of certain variances of performance.

Market Research Analyst

They assess consumer preferences to help organizations decide how to shape, advertise, and market their products and services. Many market research analysts work for consulting firms that are hired on a contract basis. Others work directly for employers as part of a marketing team at consumer and product firms.

Market analysts’ responsibilities can depend somewhat on the employer, but they’re largely similar:

  • Devise and evaluate methods for collecting data, such as surveys, focus groups, questionnaires, and opinion polls.
  • Present their findings to executives and clients through charts, graphs, and other visual means to help them make ​better-informed decisions about product introductions, modifications, and marketing campaigns.
  • Interpret the data they’ve collected, ​organizing this information into statistical tables and reports.
  • Create a visual of industry trends and of competitors so organizations can predict how products and services will fare in the marketplace.
  • Measure the effectiveness of marketing programs and strategies.

Big Data Engineer

They create and manages a company’s Big Data infrastructure and tools, and is someone that knows how to get results from vast amounts of data quickly. The world of Big Data has grown significantly during the last decade; therefore, the skills started to be more specific.

A Big Data Engineer will work on collecting, storing, processing, and analyzing of huge sets of data. The primary focus will be on choosing optimal solutions to use for these purposes, then maintaining, implementing, and monitoring them. Big Data Engineer is also responsible for integrating data with the architecture used across the company.

Big Data Engineer Responsibilities

  • Selecting and integrating any Big Data tools and frameworks required to provide requested capabilities
  • Implementing the ETL process {{if importing data from existing data sources is relevant}}
  • Monitoring performance and advising any necessary infrastructure changes
  • Defining data retention policies
  • {{Add any other responsibility that is relevant}}

Softlogic provides total support to the student. There is 100% Placement assistance, Excel is the need for several companies and we are very well aware of that. Softlogic prepares candidates for the interviews through mock interviews, technical reviews etc. Softlogic will provide a great drive to your Advanced Excel Training progression irrespective of the fact that you are a fresher or experienced professional.

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