This course follows a curriculum that covers all the major aspects of data science such as machine learning,data integration, data architecture, data visualization, predictive analytics, etc.We provide data science course in Chennai also.
Data science-related courses from Apponix will let you make the most out of the demand for skilled professionals in this sector so that you can land a high-paying job at your dream company.
With our data science certificate online or offline course, you will surely be able to have a competitive edge over other applicants interested to have a lucrative career in the field of data science.
Because it is rated as one of the top job sectors in terms of career growth opportunities, job satisfaction and pay scale. Furthermore, the demand for data scientists is always high as the number of skilled professionals is comparatively less.
Yes, you can learn data science even if you do not have any prior knowledge about this field as we will also take classes on basic concepts of data science.
Our complete data science Bootcamp does not come with exams and certification but an industry-recognized data science course completion certificate will be offered after you score 80 % at the one-hour-long exam we will conduct that will contain 25 objective-type questions about the course.
Data science is an umbrella term for the processes a data scientist uses to uncover patterns all the while extracting business-critical information from huge amounts of data derived from various sources.
Python's versatility and extensive library support have made it the go-to language for machine learning and artificial intelligence (AI) applications.
Machine learning, a subset of AI, revolves around training algorithms to make predictions or decisions based on data. Python's strengths align seamlessly with the requirements of this field.
Ecosystem: Python boasts a wealth of libraries and frameworks dedicated to machine learning, such as TensorFlow,PyTorch, Scikit-Learn, and Keras. These libraries provide pre-built tools and models that streamline the development process.
Ease of Learning: Python's simplicity and readability lower the barrier to entry for newcomers to machine learning. Its syntax resembles pseudocode, making it accessible for those
with varying levels of programming experience.
Data Manipulation: Libraries like NumPy and pandas enable efficient data manipulation, transformation, and analysis. These tools are essential for preprocessing datasets before training machine learning models.
Visualization: Python's libraries like Matplotlib and Seaborn allow for easy data visualization, helping data scientists and machine learning engineers explore datasets and present results effectively.
Community and Support: Python has a thriving community of data scientists, machine learning practitioners, and researchers. This community provides extensive documentation,
tutorials, and forums for sharing knowledge and troubleshooting issues.
Scalability: Python is suitable for both prototyping and scaling machine learning projects. Developers can initially build models quickly and then optimize
them for production use.
Integration: Python can be seamlessly integrated into various data science and machine learning workflows. It can work with databases, web APIs, and other technologies commonly used in data-driven applications.
Deployment: Python offers various deployment options for machine learning models, including web services, containerization (e.g., Docker), and cloud platforms (e.g., AWS, Azure, Google Cloud).
Community Packages: Beyond machine learning, Python's ecosystem includes packages for natural language processing, computer vision, reinforcement learning, and more,
broadening its applications within AI.
Why is Data Science with Python more popular?
Job Opportunities for Data Science with Python professionals in 2023
No prerequisites for learning data science but if you have some previous knowldge on computer science & statistics it helps you a lot in understanding subjects fast.
Secondly, you need to have an analytical mind – that is all you would need to enroll for Statistics For Data Science Courses.
Participants will be asked to develop a Linear Regression model on a real life data, in presence of the instructor. Time given is 2.5 hours. Participants will be treated like an industry employee, but in terms of help certainly the instructor will not be as ruthless as the boss. After completion of the model (with the help of the instructor wherever it is required), the instructor will show how to present a model to a real life client.
Participants will be asked to develop a Logistic Regression model on a real life data, in presence of the instructor. Time given is 2.5 hours. Participants will be treated like an industry employee, but in terms of help certainly the instructor will not be as ruthless as the boss. After completion of the model (with the help of the instructor wherever it is required), the instructor will show how to present a model to a real life client.
We are certified partner of IABAC.
The International Association of Business Analytics Certification (IABAC™) is a Globally recognized Professional Association dedicated to growing and enhancing the field of applied Data Science and Business Analytics.
We provide you below exam voucher worth of $220 for free.
After the completion of the course we provide you below exam voucher worth of $220 for free.
If you clear the exam you will become a Certified Data Scientist.
The Certified Data Science developer certification provided by IABAC, has recognition on a global platform.
It consists of concepts on programming languages like R and Python, the basics of Data Science and Machine Learning, industry cases for data science.
Yes, machine learning is a part of data science.
Exploring, sorting and analyzing big data obtained from various sources in a bid to optimize the internal and external processes of a business is the primary objective of data science.
It is a method of analyzing data. It is also a part of artificial intelligence as it allows computer systems to identify patterns and make decisions without any help from humans.
Data Science Trainer
He has 14 years of experience in the field of Analytics and has worked for different CMMI Level 5 companies like The Nielsen Company (Advanced Analytic Consulting- Price and Promotion team), and TCS. Presently employed with the largest IT company in India - TCS.
Shubhojit has experience in working in multiple domains like Retail, BFSI, Energy, Utility, etc.
An expert in multiple statistical software like SAS, R, Python, Spotfire, GMP, etc. He is a seasoned professional with extensive experience in Predictive Analytics, Machine Learning, and Simulation.
Extremely proficient in handling Deep learning algorithms like Artificial Neural Network (ANN), recurrent neural network (RNN), and convolutional neural network (CNN).
Performed both Regression and Classification models using Deep learning technologies.
This algorithm was executed with both Python and R. He has also worked with other algorithms like XGBoost, Naïve Bayes, Support Vector Machine, or recommendation engines like Collaborative Filtering, and Market basket analysis.
Worked with unstructured data using Natural Language processing to deploy sentiment analysis and topic modeling.
Extensive work experience in visualization tools like Power BI, and Spotfire. The tools were used to connect with different data sources and integrate them to create visualizations for the client to understand their business position.
He had also used to call Rest API to connect to databases where security concerns were of the highest importance and direct data integration was denied.
He has also worked for web analytics using Google Analytics to track visitors’ behavior and predict their patterns. This was also integrated with HotJar to create a heat map of customer clicks.
He has undertaken specific modeling projects for clients including translating client requirements into project specifications, model execution, resolving data, technical and analytical issues, interpreting output, and preparing client presentations and simulators, using Python, R, SAS 9.2, MS Excel, and other software.
Provided required explanation internally to ensure effective use of output, liaising with AAC Consultants as appropriate. Translated model results into client deliverables and present back to the internal team. Communicated with internal team and client for obtaining information.
Handled projects for companies like Energizer, Nestle, etc. Executed projects for Banking Financial Companies to develop and validate different propensity models extensively.
Used Logit Model and Churn Model extensively to execute these models. Also used Cluster Analysis extensively. Maintained relationships with other functions/teams and coordinate with modeling consultants, consultants, and practice areas. Extensively used Multiple Regression Analysis and Logistic Regression analysis to run and model the data.
Used Logistic Regression analysis for the BFSI domain to help the client to focus on their target customer group and formulate their promotion strategy.
Also worked on Text analytics through R for one of the clients to help them understand their key customer concern areas. Expert in Base SAS, SAS/STAT SAS/Macro, MS Excel and extensively used SQL query, and Global Modeling Platform (GMP).
He has also been a corporate trainer in the field of analytics for the last 4 years. He has trained different companies like Genpact, HSBC, ITC, Wipro, etc. He has also trained more than 250 students (apart from the corporate training program) to coach them to learn and master Business Analytics.
He had also been invited to IIT Kharagpur several times, to conduct analytics workshops for their B-Tech students. He has founded Analytics Educator – a premium institute for pertaining analytics training to professionals.
He is also associated with other institutes like Apponix, IVY Pro Scool, Edu Pristine, etc to impart analytics training.
Data science is trending as a highly sought-after career among tech enthusiasts and people who want to put in their effort to make the tech industry all the more advanced but with that stated, securing a job as a data scientist is easier said than done.
Why Data Science?
We are IABAC certified.
Well, without proper data science training in Chennai from an industry-recognized technical training academy like Apponix, one can find that they are struggling to keep up with the competition that will be trained in data science courses online.
IT companies these days have finally understood that they need professionals who are experts in deriving valuable business-critical information from the data they collect from a plethora of sources.
If an IT company wants to invest in data-driven technologies such as automation, machine learning, and artificial intelligence then it will need professionals who are highly skilled and have all the prerequisites of a qualified data scientist.
Since, all services that are currently available to people around the world whether it be their streaming service provider to their preferred Search Engine, use the data-driven technologies mentioned above, it is evident that the demand for data scientists will witness an exponential increase in the coming years!
With that stated, if you are on the hunt for quality-assured data science training online then choose Apponix – as we have been offering our data science course with placement in Chennai since 2014.
Over the years, our data science training course in Chennai has helped countless students find their way amidst the cutthroat competition and secure a high-paying job as a data scientist in leading tech companies in India and abroad.
For more details, feel free to get in touch with us.
The training at Apponix made me more confident in Data analysis. I have completed Data Science training form here. Excellent classes that helped a lot.
My experience with Apponix was really great. The trainer provided a lot of practical training. He is an expert. Each topic was taught through proper practical classes.
I took Data Science training from the institute. I am happy to make Apponix as my choice. Too good labs and sessions are handled here.
Management is very good, flexible with timings. Teaching pattern is easy and understandable.
Best institute for Data Science. Trainer has very good knowledge in Data Science.
Yes, you need to have basic knowledge about various programming languages like Python, C/C++, SQL, and Java alongside a basic understanding of computer coding.
All courses available online & Offline classes are available in Bangalore, Pune, Chennai only.
It is mentioned under the training options. Online, Offline & self paced learning course fees differs.
Course duration is 2 months or 60 Hrs Usually daily 2 hrs.
Yes, We provide course completion certificate on web design & development. apart from this there is 1 more certificate called as “ Apponix Certified Professional in Data Science”
If you score more than 80% in the exam you will be awarded as “Apponix Certified Professional”
Yes, we provide you the assured placement. we have a dedicated team for placement assistance.
All our trainers are working professional having more than 6 years of relevant industry experience.
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