Welcome to CEDLEARN, a world of customized training programs in the field of
emerging technologies. We have a gamut of programs covering Python Language, Data Analytics, Data
Science, Artificial Intelligence, and Full-Stack Development.
What Exactly is Machine Learning?
In simple form, machine learning is all about teaching the machines to learn from the data
without explicitly programming. It means machines learn from data i.e. experience just the
way we humans learn. Until now we thought that learning is a unique characteristic of living
things. As part of machine learning you would use various algorithms and statistical models.
Python programming language is widely used here. Machine learning is further classified into
3 types – Supervised, Unsupervised & Reinforcement learning. It is used in various domains
such as Banking, Marketing, E-commerce, Education, Medical and so on, wherever there is data
and you are interested in extracting useful insights from it for business decisions. Fraud
detection, Customer churning, sales prediction, Cancel cell detection etc are a few examples
of machine learning in the real life.
What is a Data Science Course?
Data Science is a combination of Data Analytics and Machine Learning. It is all about
working on the data to extract the insights from it so that the businesses could make
informed decisions. Data Science course would give you the knowledge and skills required to
extract the data, clean & manipulate it, use visualization techniques, develop statistical &
machine learning models, etc to be the sought after professional. Imagine you are a manager
at UBER. You are expected to make decisions related to the number of cars on the road, peak
and non-peak pricing, predict the demand during holidays, customer churning, driver
analytics and so on. It is humanly impossible to make decisions blindly without having Data
Science models. This is the reason why every industry is heavily investing in data science
models to be more profitable and competitive.
What is Data Analytics?
Data Analytics is all about extract information from the available data for decision making.
It involves Statistical Analysis, Visualization, Dashboarding, Business Intelligence, etc.
It mostly deals with tools such as Power BI, Advanced Excel, IBM Cognos, etc. There no or
minimum programming involves. Sometimes you would find Python as part of the Data Analytics
as it could be used for visualization and analysis. This field is in high demand as not
every organization is interested in building whereas, everyone is interested in analysing
the data for decision making. Hence, we highly recommend this course for students even those
who are from non-technical field. It is good starter to enter in to the world of Data
Science where you could test your skills and proceed further.
What Qualifications do I Need to Study Data Science?
You do not need any specific qualification to know Data Science. For that matter, it is true
for any course in IT. However, you must have logical thinking, few math skills, algorithmic
thinking, loads of patience and a zeal to learn. Most of these requirements could be
fulfilled if you are really interested. Of course you need a good trainer or a mentor to
handhold throughout your journey towards Data Science. You could start with brushing up on
Statistics and learning Python. Commit to the course which is based on project-based
learning as mere knowledge would not help you. Practice is the key to being good at
Programming or even Data Science. That is the reasons why we give a dashboard for every
learner so that they could practice their skills regularly.
Is Data Science a Good Career?
Indeed it is. If you look at the amount of data we are creating on a daily basis while using
social media, e-commerce, transportation, online search and even at a retail store.
Organizations are interested in processing these volumes of data to get insights so that
they could make business decisions such as offering personalized services to the customers
or aligning their prices or launching new products or such. This is the very reason why
organizations are investing heavily in Data Science models. With this, there is increasing
demand for professionals with Data Analytics or Data Science certification to be part of
their team and solve business problems. As per the current market trends, Data Science would
create 3 times more jobs in the next decade. Hence, it is good timing to think about Data
Science as a career option.
What is Hybrid Learning?
Hybrid learning is a revolutionary teaching methodology that encapsulates experiential
learning through mentor-led online 1-on-1 session along with video-based e-learning for
reinforcement and to suit the learning style of every learner. Once a student enrols (s)he
would get a personalized dashboard with detailed learning schedule. Learner would also get
access to the self-learning short videos that are sorted as per the schedule so that the
learner would watch these short videos to get understanding about the topic before attending
online session. This way learner could engage with trainer at a high-level. We believe in
project-based learning where the trainer would engage the learner in problem solving to
ensure maximum transfer of knowledge and confidence building.
Do you offer a Job Guarantee program?
There are two types of courses we offer one with job readiness and the other with a job
guarantee. Even though the course content, projects and approach are the same for both the
programs, the only difference lies in the post completion of the course. Irrespective of
what type of course you pick, with or without a job guarantee we would train you with
profile building, assessments, interview skills, mock interviews and so on. We have
partnership with various organizations and also our students are currently working with
various reputed organizations. In the job guarantee program we would ensure and work with
the learners until they are placed. You would be assigned a career coordinator who would
make sure that you are placed or you would get a refund. Currently the packages for a good
Data Analyst or Data Scientist could start anywhere between 5L PA to 9L PA at the entry