Data Science Certification
Data Science Course Objectives
- Apply quantitative displaying and information investigation strategies to the arrangement of true business issues, convey discoveries, and successfully present outcomes utilizing information representation methods.
- Perceive and examine moral issues in business identified with licensed innovation, information security, trustworthiness, and protection.
- Apply moral practices in ordinary business exercises and make all around contemplated moral business and information the executives choices.
- Show information on measurable information examination methods used in business dynamic.
- Apply standards of Data Science to the examination of business issues.
- Use information mining programming to take care of genuine issues.
- Utilize front line instruments and advances to break down Big Data.
- Apply calculations to manufacture machine insight.
- Show utilization of cooperation, administration abilities, dynamic and association hypothesis.
Why Should You Choose Devu For best Data Science Training In Bangalore?
If you are serious about a career pertaining to Data science, then you are at the right place. devu is viewed as perhaps the best data Science course in Bangalore with placement. We have assembled vocations of thousands of Data Science experts with 97.3% placement. “Preparing to Job Placement” – is our specialty. We do the vital hand-holding until you are put. Our master mentors will assist you with upskilling the ideas, to finish the tasks and live undertakings.
Why One Should Take The Data Science Course?
Is Data Science certification being worth pursuing as a career?
the areas is making huge amounts of information and the interest for the Data Science experts who can assess and extricate important bits of knowledge is expanding and making a large number of employments in the space of Data Science. There is an enormous void between the interest and flexibly and in this way making sufficient openings for work and pay rates. Information Scientists are viewed as the most noteworthy in the activity advertise. Information Scientist vocation way is dependable and remunerating as the information age is expanding significantly and the requirement for the Data Science experts will increment unendingly.
- 1.4 Lakh occupations are empty in Data Science, Artificial Intelligence and Big Data jobs as per NASSCOM
- The world will see a deficiency of 2.3 Lakh Data Science experts by 2021
- The Demand for Data Scientist experts has expanded by 417% in the year 2018, in India, according to the Talent Supply Index
- Information Science is the best employment to seek after as indicated by Glassdoor 2018 rankings
- Harvard Business Review expressed that ‘Information Scientist is the hottest activity of the 21st century’
Who Should Do The Data Science Course?
- Data Science requires specific aptitudes with a foundation in arithmetic, programming, insights, and critical thinking to use information in new and innovative manners.
- Data Science concentrates more on building calculations and strategies for dealing with and discovering bits of knowledge from information.
- A portion of the abilities anticipated from information researchers are modifying, straight variable based math, software engineering essentials, with a comprehension of apparatuses, for example, R, Python, Keras, PyTorch, profound learning, NLP and the sky is the limit from there.
- Datascience is the umbrella that incorporates measurements, information examination, computerized reasoning, AI, profound learning and neural systems to mine, procedure, investigate, and decipher huge datasets.
- Business Analytics is nevertheless one piece of Data Science that further branches out into Statistical Analysis and Business Intelligence.
Trainer Profile of Data Science Training in Bangalore
All of our trainers are working as Data Scientists with over 10+years of professional experience
Data Science Certification
Post completion of the training, one should take an examination and should attain 60% or more to complete the course and gain the certification.
What is Data Science
Data Science is the application of Machine Learning Algorithms and Statistics over large volumes of Structured and Unstructured Data to derive patterns and rules which could be further used to predict outcomes for a given set of inputs (read data).
In 2015, the American Statistical Association identified database management, statistics and machine learning and distributed and parallel systems as the 3 emerging foundational professional communities.
A professional needs to acquire the following skills to become an effective data scientist
- Machine Learning
- Linear Algebra and Calculus
- Data Visualization
- Data Wrangling
- Data Intuition
- Software Engineering
One of the things that differentiates a good data scientist is their ability to differentiate the points that are Critical to a Project vs what are not. To arrive the same, Data Scientists need to be able to identify relevant questions, collect data from a number of different data sources, organise the data, translate it to the solution and communicate the findings. All this leads to effective business decision making. These skills are required in any industry, making Data Scientists very valuable to companies.
An Effective Data Science Course is one, which trains professionals on all the above mentioned skills.
Why Become Data Scientist
The demand for Data Scienists is steadily increasing across the globe. The days are gone, where organizations needed these skills to buid a competitive advantage, however, we are progressing in a world where the survival of organizations would depend upon the decisions made using Data Science. In this world,
Data Science Career Outlook and Salary OpportunitiesIn our humble opinion and going the progress made in the field of Data Science on a daily basis, we expect the demand for Professionals who have undergone a training in Data Science to increase exponentially in 2020-21. As of January 2020, there are 5,200 open positions listed only on GlassDoor, which is 21% more than Jan 2019. The average salaries quoted by GlassDoor for a Data Science Professional is as follows • Data analyst: $65,470 • Data scientist: $120,931 • Senior data scientist: $141,257 • Data engineer: $137,776
How does one become Data Scientist
Considering the number of areas to be covered to become a Data Scientist, it is suggested that one avails the required guidance from Trained Professionals.
The most preferred route to becoming a Data Scientist is to go through a Class Room Coaching in Data Science. Devu.in provides Certified Data Science Course via ClassRoom Coaching in HSR Layout, Bangalore and Live Online Training in Data Science. The Live Online course can also be availed in their ClassRooms in their Centers in Rammurthy Nagar and Noida.
There are, of course, other options for one to become a Data Scientist via Self-Study, MOOC and Youtube videos, You could see the comparison and benefits of each of these modes of access in a section of devu.in
Click here to download the upcoming batch details
Partial List of Topics Covered in Data Science Certification Course in Bangalore at devU.in
Data Science Overview
Introduction to Data Science
Different Sectors Using Data Science
Purpose and Components of Python
Introduction to Statistics
Statistical and Non-statistical Analysis
Major Categories of Statistics
Statistical Analysis Considerations
Population and Sample
Statistical Analysis Process
|Machine Learning Approach|
Supervised Learning Model
|Regression Linear regression|
|Multiple Linear Regression|
|Multiple Linear Regression|
|K Nearest Neighbors|
Unsupervised Learning Models
|Apriori association rules|
|Sklearn for machine learning model|
Data Visualllization with MatPlotLib
|Introduction to Data Visualization|
|Bar graphs and histograms|
What is data science?
Data Science is a field, that uses Scietific Methods, Processes, Algorithms and Systems to extract knowledge and insight from data.
What is a Data Scientist?
Data Scientists are people with some mix of coding and statistical skills who work on making data useful in various ways
Does Data Science Requires Coding?
Yes, it does. You could do in C++, Java, R or Python, however, Python is the most common language for Data Science
What Programming Language is helpful for Data Science
Python and R are the preferred languages for Data Scientists
What skills do I need to become a Data Scientist?
The Skills required to become a Data Scientist are, Programming Skills, Analytical and Data Interpretation Skills, Business Communication Skills, Mathemtically and Statistical skills
What is the best way for somebody to get started on Data Science?
There are lots of resources online. You could also take a certification course with Coursera or edX. However, if you want a disciplined approach to Data Science, you coud go for a ClassRoom course with devU.in
Is Python better or R better for Data Science?
Python and R are both equally good for Data Science, however, if you had to deploy your models, Python would be a better choice, due to the large number of frameworks available in Python
How do I become a Data Scientist?
Data Science is a culmination of Stats, Maths, Programming, Data Management and Modelling. Unless you have a good grounding in each of these areas, you are unlikely to succeed as a Data Scientist. You could take an online course to excel these skills, or else, tkae a course with devU.in
Do I need a Masters/PHD to become a Data Scientist?
No, you don’t
Will I be able to work Overseas as a Data Scientist?
Absolutely, with a significiant skill-gap in the area of a Data Science across the globe. Having Skills in data science is absolutely a plus for you to work as a Data Scientist anywhere in the world
In the Context of Data Science Online Course, what is logistic regression?
Logistic Regression often referred as logit model may be a technique to predict the binary outcome from a linear
combination of predictor variables. for instance , if you would like to predict whether a specific politician will win the election or not. during this case, the result of prediction is binary i.e. 0 or 1 (Win/Lose). The predictor variables here would be the quantity of cash spent for election campaigning of a specific candidate,
the amount of your time spent in campaigning, etc.
What are Recommender Systems?
In the Context of Artifical Intelligence Training, Recommender Systems are one of the information filtering systems that are meant to predict the user’s next choice based on the past choices. Recommender Systems are widely used by ecommerce sites, like Amazon and Flipkart, in recommending products to customers and by sites like Netflix, Spotify in recommending Movies and Songs to the their users.
In a Data Scientist’s role, what data cleaning plays in analysis?
Once you have completed a Data Science Training and are required to handle Data Science Projects, one of the roles that you need to do it cleaning up data from to transform it into a format that data analysts or data scientists can work with. It is a tedious process because the time taken to clean the data increases with the number of data sources and the volume of the data generated in these sources. For some projects, data cleansing consumes approx 75% of the time in the project
In the Context of Data Science Training, Differentiate between univariate, bivariate and multivariate analysis.
This topic would be covered in details in Descriptive Statistical Analysis Training in Data Science training:
- Univariate Analysis: The analysis on the effect of 1 Variable on a desired outcome can be referred to as a univariate analysis. The most simple example is Pie Chart.
- Bi-Variate Analysis: The Analysis on the effect of 2 Variable on a desired outcome is termed as Bi-Variate Analysis. A common example is ScatterPlot.
- Multi-Variate Analysis: The Analysis of more than 2 variables on a desired outcome is termed as Multi-Variate Analysis.
In Data Science Certification, what are various steps involved in an analytics project?
- Step1: The Data Scientist needs to understand the business problem
- Step2: The Data Scientist needs to explore the data and become familiar with it.
- Step3: The Data Scientist then prepares the data for modelling by detecting outliers, treating missing values, transforming variables, etc.
- Step4: The Data Scientist then starts running the model, analyzes the result and tweaks the approach. This is an iterative step till the best possible outcome is achieved.
- Step5: The Data Scientist then validates the model using a new data set.
- Step6: The Data Scientist finally starts implementing the model and tracks the result to analyse the performance of the model over the period of time.
Reviews, Feedback and Testimonials
- Students 1256 students
- Max Students50
- Duration80 hour
- Skill levelintermediate
- Re-take course2