HOW DID IT ALL GO WRONG, SO FAST?
Women were once at the forefront of computer science, mathematics and statistics, and their achievements shaped the opportunities available today. But, somewhere along the way, gender bias, stereotypes, and cultural perceptions all created roadblocks that women just couldn’t overcome.
55%
of women in senior management have the most difficulty advancing to more senior levels compared to men in mid-level positions
20%
the gender wage gap between men and women, with men earning more
68%
of women executives believe that a woman’s contributions are undervalued by men
9%
the number of businesses run globally by women
4/10
of executives believe that gender diversity drives better financial performance
9%
of male executives who consider gender equality a priority at the workplace
While some of the numbers are dismal, the good news for women in technology and data is that we are no longer anomalies or outliers, because we are excelling where technical skills, advanced education, and no small amount of personal tenacity and brilliance are the minimum requirements. The gender gap is slowly shrinking, thanks to the tremendous success of women all over the world in different domains despite the odds. And to all the girls and women who aspire to become the technology stars of tomorrow… today’s a good day to be thinking about and pursuing a career in analytics!
ANALYTICS COULD BE YOUR CUP OF TEA
Do you love numbers? Believe you have strong quant. skills? Obsessed with insights, data, probability and statistics? Get ready to make the most of the boundless opportunities in analytics. Become a data scientist and help companies make the right business decisions.
9 lacs
the average earn per annum for an entry level data scientist in India
63%
of most Big Data students come from an engineering, BCA or MCA background
700,000
the estimated demand for data scientists, developers and engineers by the year 2020 according to IBM
4/5
according to a Glassdoor Study, data scientists are among the top 3 roles with the best work-life balance
My advice to young women entering the field of analytics is-Do not hold yourself back because you are a woman; you have earned the right to be in this area; use your strengths to build a strong team. This is a golden age to be part of this domain!
- Radhika Kulkarni
VP Advanced Analytics R&D, SAS
The only way you survive is you continuously transform into something else. It’s the idea of continuous transformation that makes you an innovation company.
- Virginia ‘Ginni’ Rometty
Chairwoman, President and CEO, IBM
The value of women in AI, machine learning & analytics can’t be denied. Amazon for example, when working on giving Alexa the human aspect of responses got 3 senior women leaders to head this project – bringing EQ to the IQ.
- Vaishali Kasture
Managing Director, India Country Manager, Experian
I believe that Machine Learning will be the next big revolution, and there will be job displacements. I can’t stress enough on the importance of retraining efforts, and I advise those affected to concentrate on their strengths and interests to find the best alternative careers.
- Diane Green
VP of Cloud for Google
If you’re offered a seat on a rocket ship. Don’t ask which seat. Just get on.
- Sheryl Sandberg
COO, Facebook
Many women want to reinvent their careers through data analytics. I hope that they embrace this field, taking data analytics to the next level so that businesses, products and services can be more tailored to the real expectations of consumers.
- Sairee Chahal
Founder, CEO - Sheroes
SHE’S JUST LIKE YOU. THIS IS HER STORY!
Listen to the stories of inspiring women in data science who talk about their careers, success and about what motivates them everyday. Their stories are both interesting and inspiring, revealing insights that will widen the path for other women analysts, engineers, mathematicians and data scientists.
Roopa Kumari
Associate GM for HR at Origin Learning Solutions
Charlotte Pinto
Advanced Analyst
Neethu Pillai
Data Scientist at Harman Connected Services
Asha.V
Veteran in the IT industry
THERE’S A WHOLE NEW YOU WAITING TO BE DISCOVERED
Do you want to add edge, individuality and passion into your professional space? Studying data can open a wider world for you no matter what your role is. Discover how it can empower you to see the bigger picture and predict issues, trends, and habits.
DATA SCIENCE
This certification will help you master all the three critical elements of data science - statistics, tools, and business knowledge. Pick this course that teaches you data integration, data manipulation, descriptive analytics and visualization, statistical analysis, predictive analytics and machine learning models, using the most in-demand tools like R, Python, SAS, and Tableau.
BIG DATA
Get your Big Data basics covered with a program that covers both the Data Engineering and Big Data Analytics processes involved in storing, processing and managing Big Data - both structured and unstructured data, as well as the data analytics layer on top. Learn to use both traditional predictive models by connecting an analytics tool like R to Big Data Systems, as well as advanced Machine Learning algorithms on Big Data using Spark.
HR
When you learn advanced analytic techniques on Excel and uncover data-driven insights, you will be more inclined towards better HR decision-making and reporting. The skills garnered through this program will empower HR professionals to align HR metrics with strategic business goals.
IoT
The Internet of Things (IoT) certification will teach you to the basics of electronics, such as information on circuits, sensors, micro controllers and knowledge of the latest programming languages such as Python, Java, C++, Javascript and Parasail.
if you are an analytics newbie, this is a great starting place for you.
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