Data analytics techniques can reveal trends and metrics that would otherwise be lost in the mass of information. This information can then be used to optimize processes to increase the overall efficiency of a business or system.

Why Data Analytics Matters

Data analytics is important because it helps businesses optimize their performances. Implementing it into the business model means companies can help reduce costs by identifying more efficient ways of doing business and by storing large amounts of data.

Data Analytics Combo Pack Course @ Acceleratron

You will learn to use data analytics to create actionable recommendations, as well as identify and manage opportunities where data-based decisions can be used to change the way you do business.

This combo pack course also focuses on advance course of Database to understand and gather client needs, developing innovative solutions, orchestrating the entire life cycle of the project and presenting the solution to the end-user. Problem framing and solving is an integral part of the course.

This course is here to develop individuals with impeccable problem-solving techniques and communication skills with sound technical skills to provide the IT industry with top quality Data Consultants and Database Administrator.

Course Contents

You will develop technical skills required to be a full stack Data Analytics Consultant -

• Database Advance

  • Introduction to SQL
  • Introduction to Data
  • Definition Language
  • Datatypes
  • Constraints
  • Managing Tables using DML statements
  • Retrieving Data using the SQL SELECT Statement
  • Introduction to Transaction Control Language (TCL).
  • Comparison and logical operators.
  • Arithmetic operations
  • Restricting and Sorting Data
  • Using Single-Row Functions to Customize Output
  • Using Conversion Functions and Conditional Expressions
  • Reporting Aggregated Data Using the Group Functions
  • Displaying Data from Multiple Tables Using Joins
  • Subqueries -retrieving data
  • Creating and managing Views
• Data Fundamentals

  • Type of Data
  • Data Quality
  • Data Relationship
• Business and Data Requirement Gathering

  • Interpretation of Data
  • Data Modeling

• Data Mining
• Data Cleaning

  • Tableau Prep
  • Connecting to different data source
  • Aggregation step
  • Pivot, union, join, output
• Data - Extract Transform and Load (ETL Process)

  • Blending
  • Appending Data
  • Formulas
  • Data Input & Output
  • Data Integration Methods
• Data Analysis
• Data Validation & Testing
• Data Visualization - Tableau

  • Design Principals
  • Filters
  • Parameters
  • Highlights
  • Dashboard Designing
  • Maps
  • Storyboard
  • Interactive Dashboard
• Introduction to multiple automation tools

Prerequisite

You should have good understanding of MS Excel. And curiosity to understand data.

How We Coach

Acceleratron researched that basic and advanced courses are majorly available in urban cities. Which are unavailable for rural candidates. If any candidate wants to take these courses, then they must stay temporarily in cities. Also, they send a lot of time, energy & money during their daily convenience.

To overcome all these situations, we deliver our course through virtual classes. During our interactive sessions, we engage our students with discussions & project module development. Acceleratron learning process is divided into two parts, viz. knowledge gathering and skill development. Teachers & coaches deliver knowledge within the virtual interactive class. During these classes, students are provided with assignments which is a time-bound activity. Once the information delivery of a subject is complete, they engage with project module development. Projects are developed in small groups. Mentors govern this group activity to demonstrate the deployment life cycle along with the project development.

Our Sessions

Our sessions are 2 hours long. The entire combo pack course takes approximately 66 Hrs. This course will be conducted over the weekdays Monday and Friday. The entire course will comprise of theoretical and hands-on classes. Candidate should also be available for the group activities like project discussion, project status meeting. On regular intervals (biweekly/monthly), we take feedback from our students to maximize the effectiveness of our learning process

Journey with Acceleratron

Journey with Acceleratron starts from enrolment of a candidate through online enrolment form. During enrolment, each candidate pays enrolment fees*. Once enrolled, candidates will go through an intake discussion. We capture a few details about the candidate during this discussion.

We start with our course delivery. At this point, candidates don't pay us any tuition fees*. After the first week, if the candidate is unhappy, we don't charge any tuition fees*, else he pays the entire tuition fees*. After the completion of the first month (started from the first class of the curriculum), If the candidate wants to continue with our course, then he pays the final instalment.

We tailored our course in slots so that the candidates can always have an option to withdraw, without any financial loss.

* The fees structure varies with the country from which the candidate is joining. Please contact Acceleratron help desk or your referee to get more insight on our fees structure.

Job Opportunities after Data Analytics combo course

Data Analytics can be performed by an individual under various roles

• Data Analyst
• Business Intelligence Analyst
• Scientist
• Engineer
• Data Analytics Consultant
• Marketing Analyst
• Product Analyst
• ETL Developer
• Tableau Developer
• Datawarehouse Developer

Learning Outcomes & Exit Profiles

After the completion of this course,

• Conduct entire lifecycle of Data Analytics.
• Appear for the Oracle Database Certification exams.
• They will be able to design database and create relationship between tables of the database.
• Identify and describe complex business problems in terms of analytical models.
• Translate results of business analytic projects into effective courses of action.
• Communicate technical information to both technical and non-technical audiences in speech, in writing, and graphically.
• Candidates will have a project experience.
• Acceleratron Certificate of completion after finishing the full Data Analytics course.