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WHAT is Data Analytics?

process of breaking a inferences based on data to drive decisions. This needs higher mathematics, programming and software tools.

WHAT is the job of a Data Analyst?
  • Store, manage, analyse data
  • Break up data into smaller clusters
  • Process information, draw inferences
  • Study consumption patterns
  • Predict customer preferences
  • Develop new insights into problems in business processes
  • Help make business decisions
 
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What skills does a Data Analyst need?
  • Strong in statistics, numerical analysis and modeling processes.
  • Good programming background
  • Proficiency in tools like SAS, Excel and SQL (mandatory)
WHO can join?

BE/BTech degree holders (2013 batch)

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WHAT is Big Data?

Big Data is rapidly growing structured and unstructured datasets. Their sizes are beyond the ability of conventional database tools to store, manage and analyze them. It has greater volume, variety and velocity than traditional data.

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Big Data is growing at an exponential pace. Estimates suggest that data is doubling every two years.

HOW is Big Data generated?

When we make a call, download, subscribe to ringtones,swipe credit cards, google information, use facebook, download YouTube videos, listen to audios, podcasts, book a ticket, order a book, visit a site, click on a site,etc we are generating data.

WHAT will we learn?
1.Basic Statistics & Business Analytics
  • Understanding data, Descriptive statistics, Probability & probability distributions Hypotheses testing. Correlation & regression Data preparation for analysis (data cleansing & handling missing values)
2.Excel Basics
  • Navigation Functions (basic & advanced), Pivot tables & charts
3.Excel Dashboarding
  • Working with controls, Using Pivot Charts to create Dashboards
  • Use of Excel Controls to design custom Dashboards
  • Connecting Excel to Power point.
4.Statistical Analytics System (SAS)
  • SAS, GUI and SAS libraries, Output Delivery System (ODS) SAS functions & options
  • Generating data
5.Big Data
  • Introduction to Hadoop, data warehousing and datamarts, RDBMS, SQL & SQL procedures, Accessing database through SAS.
6.Quantitative Aptitude
  • Data Interpretation, Skill focus on thinking, problem solving and decision making skills
7.Employability Skills
  • Professional skills Business Communication skills, Interview & life skills.
What will I be able to do by the end of the course?
  • Use Excel dash boarding to represent data efficiently
  • Use SAS, and SQL to retrieve, summarize, group, sort and process data.
  • Understand and apply Core statistical concepts
  • Able to appreciate the applications in domains like telecom, financial services and retail
WHAT are the job opportunities for a fresher?
  • India alone needs about 1,00,000 skilled data analysts by 2015.
  • US needs 1,92,000 analysts.
  • Indian service providers expected to hold a lion’s share in service for Big Data.
3 Vs of Big Data
VOLUME

Data from financial transactions, textual data in the social media, etc contribute to this

VARIETY

Big Data is any type of data: text, audio, video, click streams, log files and more

VELOCITY

Data is moving at a fast pace. For eg: stock markets analyse over 5 million trades each day.

Course Highlights
  • Regular assignments
  • Weekly assessment
  • ndividual Tasks
  • Group work
  • Creative thinking
  • Problem solving
  • Feedback on learning
  • Lectures by industry veterans
  • Presentations
  • Handouts/Workbooks
Who Hires Data Analysts?
  • Google
  • Amazon
  • IBM
  • Citibank
  • Fidelity
  • Rediff
  • Accenture
  • HSBC
  • Infosys
  • Genpact
  • Mu Sigma
Course Highlights
  • HP
  • Dell
  • TATA
  • IMRB
  • HCL
  • iGate
  • Cognizant
  • Wipro
  • Bloomberg
  • Headstrong
  • McKinsey
  • Cloudera

Big Data Experiences

  • Washi Menla’s experience @ Laqsh
  • Laqsh student Cindrella Moreira placed in Cisco
  • LAQSH- Student Testimonial & Feedback
  • laqsh video
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