Learn Data Science
Data Science training will help you gain the required skillset for getting Data Analyst/Data Scientist. This should cover, Data Analytics, project life cycle, data acquisition, analysis, statistical methods and Machine Learning. You will gain expertise to deploy Recommenders using R & Python programming, and you will also learn data analysis, data transformation, experimentation and evaluation.
Learn moreRequired For Training
Learners need a computer, laptop, tablet or smartphone and internet connection, courses are designed in video with audio and coupled with one-one Mentoring.
Learn moreEstimated Duration
16 Hours (Should you study 1 hour per day you could complete the Python course in less than 6 weeks).
Learn moreCourses Include
A rigorous and industry-approved Data Science and Machine Learning Program
- Learn in-demand skills like Statistical Analysis, Python, Spark, Hadoop, Machine Learning, Seaborn, Matplotlib, Airflow and more
- Build your portfolio by working on real-life business cases
- Personal placement mentorship
- Ongoing guidance after course completion
- Opportunity to interact with experts
Bundle Price
Rs. 10,000.00 or 2 months instalments of Rs. 5,000.00/-
You won't find better value in the marketplace. If you find a lower price, send us the offer, and we'll beat it.
Certification
Exams are written at any Pearson UPLSNIPE Testing Centre in Bengaluru-560010.“Build an expertise in one the most powerful data science tools and earn an UPLSNIPE powered certificate”
Learn moreAbout This Specialization
In a nutshell, it involves extracting actionable insights from raw data. Various scientific methods, algorithms, and processes are used to extract insights from vast
amounts of data. Data Science provides a vast array of tools for working with data coming from a variety of different sources, such as financial logs, multimedia files,
marketing forms, sensors, and text files. An important aspect of Data Science is the preparation of data for analysis, including cleaning, aggregating, and manipulating it to
perform advanced analyses.
Data Science programme is designed for you to build a distinctive career in analytical and leadership roles in various sectors. With a perfect blend of
machine learning, big data analytics, and statistics, the programme helps you gain experience in solving problems with real-world data.
Certification Training Overview
Globally, data scientists are the most sought-after, in-demand profession and almost all industries are actively hiring Data Scientists, so obtaining a Data Science certification is highly recommended. As India is home to several tech companies, the Data Science field offers vast and promising career opportunities. In this fast-growing field, we offer a Data Science training course designed for beginners & professionals.
What does a Data Scientist do?
A data scientist is someone who practices Data Science to analyze data so that they can provide actionable insights by using various processes, methods, systems, & algorithms. A Data Scientist is a highly qualified professional with highly developed mathematical, statistical, scientific, analytical and technical skills who can prepare, clean, & validate structured and unstructured data for businesses to use to make better decisions. As a whole, they must fulfill several responsibilities, as follows:
- Identify data sources and gather data
- Analyze structured and unstructured data effectively
- Formulate strategies to solve business challenges
- Create data strategies in collaboration with team members and leaders
- Use algorithms and modules to uncover trends and patterns
- Cleaning and verifying the data to ensure it is accurate and uniforms
Who can take up this Training?
After you complete this Data science course, you will have an in-demand set of skills that are critical to today's career opportunities in:
- 10+2+3 year graduate degree in Statistics / Mathematics / Computer Science / Engineering / Technology
- Any other discipline with a minimum of two years of learning Mathematics or statistics from a recognised university / institution with an equivalent qualification recognised by the Association of Indian Universities (AIU)
- Work experience is desirable
- Junior/Senior/Associate Data Scientist Forcasting/Risk Analyst, Portfolio Risk Data Scientist, Forecasting Analyst, Research Analyst, Data Analytics, Analytics Lead/Manager/Consultant, Machine Learning Engineer Statistical Programming Specialist
Course Content
01
Python basics, data structure, programming fundamentals, data, Numpy
02
Jupyter notebook, Statistics, Feature Engineering, Exploratory Analysis, Feature Selection
03
Introduction to machine learning, supervised learning linear regression and classification, Decision tree and random forest, unsupervised learning, time series modeling
04
Introduction to data visualization and Tableau
05
Preparing data sources and working with metadata
06
Structuring in tableau, Dashboard
Brief Summary:
Collect Enough Data
As the name implies, a Data Scientist has to collect enough data in order to make sense of the problem at hand and get a better grip of the issue with respect to the time, money and resources needed.
Process the Raw Data
Data can rarely be used in its original form. It needs to be processed, and there exist various methods to convert it into a usable format.
Explore the Data
After the data has been processed and converted into a form that can then be used in the later stages, the Data Scientist need to explore it further so as to get the characteristics of the data and find out more about the obvious trends, correlation and more.
Analyze the Data
This is where the magic happens. The Data Scientist deploys various arsenals in his repository like Machine Learning, statistics and probability, linear and logistic regression, time-series analysis and more in order to make sense of the data.
Communicate the Results
At the end of the entire process, there is a need to communicate the findings to the right stakeholders in order to get the groundwork done for all recognized issues.
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