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Certificate Course in Data Analytics

Build an Analytic Career Through Advanced Analytics Tools like SAS, Python, R and Advanced Visualization Tools

Class Room Training on Data Analytics

Data Analysts and Data Engineers are responsible for finding the trends in data sets and developing algorithms to help make the raw data more useful to the enterprise. This is an IT role which requires a significant set of technical skills, including a deep knowledge of SQL database design and multiple programming languages like Python, R, SAS etc.

This course will address the rising demand for trained and certified resources on Data Engineering to support the Advanced Analytics, Strategy planning and monitoring teams to process the high volume Business data and make it useful in effective and structured manner. This also covers the tools and techniques one could possess to become a Data Analyst.

A Man Working with Tools to depict that Hands-on Classes are Provided with Data Analytics Course at Study Analytics
Hands-On Classes
Data Warehouse to indicate that real Industry Data will be Provided with hands-on Classes for Data Analytics Course at Study Analytics
Industry Data
Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with Data Analytics course at study analytcis
Domain Workspace
Projects with real industry usecases to indicate that live projects are done alongwith Data Analytics course at Study Analytics
Live Projects
Study Materials are shared to the candidates when they take up Data Analytics course at Study Analytics
Study Material Shared
Man thinking in Analytic Mindset to show that the learning pedagogy for Data Analytics Course at Study Analytics is Easy for the Learner
Easy Learning Pedagogy
Learners discussing across a table to depict that group studies are encouraged with Data Analytics course at Study Analytics
Group Study
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Mock Interviews
Document is being prepared, to indicate that support for preparing an apt Curriculum Vitae in Analytics is given as part of Data Analytics Course at Study Analytics
Resume Preparation

Courses Highlights

The course duration of Data Analytics Course at Study Analytics

280 Hours of Classroom + Home assignments and projects

  • A man working with Data Analytics tools to show that Assignments are given per topic with Data Analytics course at Study AnalyticsAssignments: 300+ Micro Projects  
  • A computer screen with process and outcome to indicate that projects with real business scenarios are facilitaed along with Data Analytics course at Study AnalyticsProjects: 7 projects
  • Multiple Domains Across the globe to indicate that workshops from multiple domains are conducted along with Data Analytics course at study analyticsDomains: Multiple- Retail, Online, Sales
  • A spanner and screw driver image to show that the teaching methodology at Study Analytics for Data Analytics Course is practice basedClasses: 100% practice based
  • A man standing with process cycle on Analytics to indicate that internships are provided with Data Analytics Course at Study AnalyticsInternship for freshers
  • A man walking out of a door succesfully to indicate that placement support is provided with Data Analytics course at Study AnalyticsPlacements : 100% of Alumni Are Well Placed Upon Successful Course Completion

What do you get?

  • Latest softwares and techniques to become Data Analyst/ Data Engineer
  • Live projects to refine the subject taught and to be experienced
  • The best practices to build an effective Business dashboard
  • Most Relevant and Latest Methods in Data Analytics and the Best Practiced Programming Techniques.
  • In-Class Assignments (Learn while practicing)
  • SAS Global Certification preparation
Two fresh graduates new to Analytics standing hand in hand to indicate the prerequisites for taking up Data Analytics course at Study Analytics

Prerequisites

Candidates who want to be a Data Analyst, to work with Data Engineering and Data Quality with a high flair to softwares, programming and logical reasoning and apply thought process to business requirements and help the Analytics team to get insights out of the functional data. Basic communication skill is mandatory.

Two succesful candidates wearing graduation caps after completing Data Analytics Course at Study Analytics

Course Outcome

On successful completion of the course one could learn how to process Business data in different verticals, process, analyze and report and automate it using the essential softwares like SAS, Python, SQL, QlikView/Tableau, R and VBA. The Internship option for a graduate can start the career with the real experience in a learning environment. One could apply for the most demanding Data Engineering opportunities with leading companies

Course Modules

Data Analytics and MIS Reporting
  • Basic Excel Training
  • Advanced Excel Course
  • Advanced Business Dashboards Training
  • VBA and Automation Hands On Classes
  • Projects
  • Business Analysis
  • Use Case designs
  • RDBMS Concepts in Business
  • Data processing
  • Data Analysis
  • Reporting Using MySQL
  • Python Environment
  • Python Programming Basics
  • Handling Data in Python
  • Data Wrangling
  • Plotting and Visualization
  • Business Use cases
  • Project
Module 2 Sub Heading
  • Basics of R Software
  • Operations
  • R Programming Fundamentals
  • Exploratory data Analysis
  • Functions
  • Basic Statistics
  • Graphical Plots
SAS Training
  • Base SAS Training (40 hrs)
  • Base SAS Certification Preparation ( 20 hrs )
  • Advanced SAS Certification Preparation (40 hrs)
  • Advanced SAS with Project (20 hrs)
  • Candidates do multiple projects across domains

Hear from Our Students

Kishore Ramanna
Fiserv

The best part for me was an example-oriented explanation and application-oriented exercises. This training in Data Analytics from Study Analytics has been a catalyst in making me understand the potential of Analytics and its practical applications in making data speak for themselves. The training materials used explained the concepts in a clear and lucid manner.

Allen Mathew
Talview

Being a B.Tech MBA student, I always wanted to enter a career that had a little bit of both. Study Analytics has helped me in deciding an appropriate career path for me. The teaching is excellent as the concepts are covered from the bottom up, starting from the basics. Overall it's been good learning at Study Analytics.

Dinesh Kumar R N
Wells Fargo

When I thought of pursuing my Data Analytics course , Study Analytics is the only training center in Bangalore which gave me a clear picture on How they are going to start and end” in setting up my career , which gave the confidence in myself to join. As promised faculty way of delivering and execution of plans by his team members have set up my career in analytics . Hats off to the team . Long way to go.

Ramkrushna Panda
Integrity Infotech

"I think I came to the right place, doubts get cleared fast and precise. Looking forward for a goodtime in the future even with Study Analytics. Training will be helpful for certification and job."

Vinay Patil
Genpact

Very good insight on how analytics work in banks was provided in Study Analytics, useful session as it will definitely help in interviews. Real-Time industry problems were definitely helpful.

Roshan A R
Genpact

—Study Analytics made me excel in my new profile. The training for analytics offered by study analytics helped me to enhance my productivity skills which made me become a performer in my team at GENPACT.

Khailendra Solanki
MIAC - Mortgage Industry Advisory Corporation

The classes at Study Analytics were a big help to get me into another level in excel. The exercise done during the course were very helpful in understanding the functions and their usage.

Yathartha Sharma
Gupta Power Infrastructure Limited

The classroom sessions at Study analytics is very interactive and interesting. Students get to learn about the different perspective of analytics which is taken by the highly qualified professionals. I give a thumbs up to Study Analytics.
Let our experts help you customizing the course for your profile

FAQ

To become a data analyst, you must first earn a Bachelor's degree, preferably in Engineering or in Computer Science. Desirable traits of a Data Analyst are, high level of mathematical ability, programming languages such as SQL, R and Python, the ability to analyse, model and interpret data, problem-solving skills, ability to find patterns in large data sets, a methodical and logical approach to business problems, the ability to plan work and meet deadlines and accuracy and attention to detail.
Python programming, R programming, SAS Programming and SQL are the most prominently sought after programming skills for a data analyst or a data engineer. Additionally Statistics, Data Wrangling, Data Visualization and good communication skills are also desirable.
Python v/s SAS v/s R, all of three do an excellent job on the platforms they have set out. SAS is the most comfortable language across all three to learn and can be picked up by anyone without a prior programming language. R has a slightly deeper learning curve compared to SAS and Python. Since R is a low-level programming language, requires proficiency and good basic programming orientation. Python is a multi-purpose,simple, free and open source programming language and very popular in data science due to its active community and data mining libraries.
Many industries and businesses demand Excel skills for an Analyst because it remains as an intelligent way to extract actionable insights, revenue patterns, operations, marketing trends, and more can be analyzed through Excel spreadsheets. Many businesses, personal and institutional enterprises are using Excel because of its utility and the ability to serve as a visualization tool for different applications.

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