Last date to Enroll: 15th Jan 2024 Registration Fee: INR 1000 (Individual)
ABOUT THE PROGRAM:
Data science is like the wizardry of the digital age. It's all about extracting valuable insights from vast amounts of information.
Now, the training you're talking about is like Hogwarts for aspiring data wizards. It's where you learn the spells—coding languages, statistical models, and machine learning techniques.
Scope:
The scope of data science is as vast as the data itself.
From finance to healthcare, entertainment to sports, businesses are hungry for data-driven decision-making.
Your training sets the stage for you to step into any industry and make sense of the data chaos.
Benefits:
High Demand: Companies are on a quest for skilled data scientists. Your expertise becomes the golden ticket to job opportunities.
Versatility: Data science isn't confined to one industry. You can dance with data in finance, healthcare, tech, and beyond. It's like having a backstage pass to various sectors.
Innovation: You become the architect of innovation. Your insights help businesses stay ahead of the curve, make informed decisions, and create groundbreaking solutions.
Problem-Solving: Data science is like solving puzzles. You'll develop a knack for cracking complex problems and turning raw data into actionable strategies.
Competitive Edge: In employability contests, having data science skills is like wielding a secret weapon. It gives you an edge that can set you apart from the competition.
Some of the niche (role-specific) career opportunities for Power BI are:
Data Scientist
Machine Learning Engineer
Data Analyst
Business Intelligence Analyst
Data Engineer
INTERNSHIP PLAN:
Live Training (Online)
20 hrs - 2 hrs/day, 10 days
Time: 7.00pm to 9.00pm
Exclusive Assessments
Last Date to Enroll 24th Jan 2024
Classes start from Jan 4th Week
Session Recorded Video for Limited time access will be provided
Learn from Quality Industry Experts
Join Our WhatsApp Group for instant updates on Training & Contest:
Registration Link:
SYLLABUS TO BE COVERED DURING LIVE SESSIONS:
INTRODUCTION TO NUMPY
Numpy
Basics of numpy (creation of ndarray)
Asarray( ) , frombuffer( ) , fromiter( ) in numpy (arrays with existing data)
Arange( ), linspace( ), logspace( ) in numpy (arrays with numerical ranges)
Initializing arrays in numpy ( zeros( ) ,ones( ) ,full( ) ,eye( ) functions )
Accessing elements of ndarray in numpy
Slicing operation on ndarray in numpy
Understanding of axis attribute in numpy
Datatypes - copy( ) - view( ) in numpy
Joining arrays (concatenate( ),stack( ),vstack( ),hstack( ),dstack( )) in numpy
Splitting array (split( ),array_split( ),vsplit( ),hsplit( )) in numpy
Search in numpy (where( ) & searchsorted( ))
Sort( ) in numpy
Arithmetic operations on arrays in numpy
Statistical functions (mean,median,variance,standard deviation) in numpy
2. DATA MANIPULATION WITH PANDAS
Introduction to pandas (series,dataframe,panel)
Different ways of creating series in pandas
Different ways of creating dataframe in pandas
Attributes of series in pandas
Mathematical functions on series in pandas
Indexing & slicing dataframes in pandas
Sorting dataframe (by column) in pandas
Manipulating dataframe in pandas (add column , drop column) -- dataframe manipulations
Export dataframe to excel, csv & text file in pandas -- save dataframe in pandas
Understanding loc[ ] & iloc[ ] in pandas
Handling missing data (dropna & fillna) in pandas
Remove duplicates from dataframe in pandas
Data filtering (using conditions) in pandas
Conditional changes in pandas
3. DATA VISUALIZATION
Introduction to matplotlib -- types of plots -- basic terminology of charts
Simple plot in matplotlib -- line plot in matplotlib
Markers (styles, size & color) in matplotlib
Lines(style,width,color) in matplotlib -- line properties in matplotlib
Font properties on title and labels in matplotlib
Grid function with line properties in matplotlib -- grid lines in matplotlib
Subplots in matplotlib -- subplot function
Legend function in matplotlib
Creating scatter plot in matplotlib
Cmap and colorbar (scatterplots) in matplotlib -- representation of each dot in scatter plot
Bar plot (horizontal & vertical) in matplotlib -- simple bar plot -- bar( ) & barh( ) functions
Stacked bar chart with example in matplotlib -- horizontal & vertical stacked bar char
Grouped bar chart -- multiple bar chart with example -- matplotlib library
Pie chart in matplotlib -- pie graph -- pie plot in matplotlib
Histogram chart in matplotlib -- histogram graph -- histogram plot in matplotlib
Scatter plot in matplotlib – matplotlib
Xticks( ) , yticks( ) , xlabel( ) , ylabel( ) , xlim( ) , ylim( ) in matplotlib
4. Projects (Prototype)
IPL Individual Player Performance Analysis
Academic Result analysis
Note: Recorded Video will be given for limited access time if Live Session is missed
GUIDELINES:
Only limited registration is allowed based on first cum first confirmation process. Registration is not transferable to any participant
Payment to be done in PCI Account & screen shot to be uploaded in the registration link based on the category of the registration.
BENEFITS:
Active students will be given Best Intern Award-Decided by the Industrial trainer
Integrated Course & Internship Completion Certification (2 Weeks) are issued as per the norms specified in AICTE Internship Policy, NAAC & NBA Accreditation process
Source Code for the Projects discussed will be shared
TRAINING REQUIREMENTS:
1. A desktop or laptop computer is required. Windows 7 is recommended.
2. Stable internet connection
3. A microphone is strongly recommended for trainer-student communication.
WHO CAN ATTEND:
All the Students/Individuals who are interested to Learn Data Science can apply
Registration Link: https://bit.ly/pciemp012
TRAINING METHODOLOGY:
1. Real-Time Case Studies & Application Project.
2. Interact with Industry training expert and work on real-life challenges
3. Complete Plan of the Live sessions and Class Link will be shared to registered participants through Program WhatsApp Group
4. Assignments after each topic of the training will be provided to the students for practice
5. All training materials developed remain the intellectual property of the training Industry. it has to be used only under their approval and/or supervision.
REGISTRATION FEE:
1) Individual Registration: 1000 INR
2) Four member Team: 3000 INR
PAYMENT MODE: UPI ID: projectcontest@icici
GPAY: 9500293472
IMPS/NEFT:
Account Name: Project Contest Innovations LLP
Acc no: 768705000092
IFSC: ICIC0007687
Bank: ICICI Bank
Type: Current
LIST OF E-CERTIFICATES:
Integrated Course + Internship Certificate on Successful Completion
Best Intern Award Certificate for TOP Performers
For Doubt call or WhatsApp: 8220345819, 9500293472, 9514411140
eMail: training@projectcontest.com
............Lets Learn Together............
For registration click the form link below(Upload payment screenshot):
Register Now: https://bit.ly/pciemp012
Category: Industry Internship, Training
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Disclaimer: The Internship/Training is organized through Industry Training Partnership(ITP) program of Project contest Innovations LLP with the partnered Industry, Inorder to share the knowledge of the resource person/Industry to the Innovators, Students and public. Certificates will be issued to the participants only based on satisfying all the required parameters given at the time of Program launch. PCI and the Industry Partner has all the rights to cancel the Internship due to unavoidable situation without prior information, if money is paid alternate days will be informed on such circumstances or the money will be returned back. Lets Learn Together!!!
